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Call number: | 9783319458090:ONLINE Show nearby items on shelf |
Title: | Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry |
Author(s): | |
Date: | 2017 |
Size: | 1 online resource (VIII, 295 p. 106 illus., 83 illus. in color p.) |
Contents: | Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies -- Automated Alignment of Mass Spectrometry Data Using Functional Geometry -- The analysis of peptide-centric mass spectrometry |
data utilizing information about the expected isotope distribution -- Probabilistic and likelihood-based methods for protein identification from MS/MS data -- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data | |
Processing -- Mass Spectrometry Analysis Using MALDIquant -- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry -- The analysis of human serum albumin proteoforms using | |
compositional framework -- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection -- Statistical approach for biomarker discovery using label-free LC-MS data - an overview -- Bayesian posterior integration for | |
classification of mass spectrometry data -- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies -- Robust and confident predictor selection in metabolomics -- On the combination of | |
omics data for prediction of binary Outcomes -- Statistical analysis of lipidomics data in a case-control study | |
ISBN: | 9783319458090 |
Series: | eBooks |
Series: | Springer eBooks |
Series: | Springer 2017 package |
Keywords: | Statistics , Analytical chemistry , Mathematical statistics , Bioinformatics , Biostatistics , Metabolism , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Metabolomics , Computational Biology/Bioinformatics , Analytical Chemistry , Probability and Statistics in Computer Science |
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Call number: | 9781783553365:ONLINE Show nearby items on shelf |
Title: | Python Data Analysis learn how to apply powerful data analysis techniques with popular open source Python modules |
Author(s): |
Ivan Idris |
Date: | 2014 |
Publisher: | Birmingham, UK: Packt Publishing |
Size: | 348 p |
Note: | online access: non linear lending |
Contents: | Getting started with Python libraries -- NumPy arrays -- Statistics and linear algebra -- pandas primer -- Retrieving, processing, and storing data -- Data visualization -- Signal processing and time series -- Working with databases -- Analyzing tex tual data and social media -- Predictive analytics and machine learning -- Environments outside the Python ecosystem and cloud computing -- Performance tuning, profiling, and concurrency -- Appendix A : key concepts -- Appendix B : useful functions -- Ap p endix C : online resources |
ISBN: | 9781783553365 |
Series: | eBooks |
Series: | EBL eBook |
Keywords: | Python (Computer program language) |
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Call number: | 9781482203547:ONLINE Show nearby items on shelf |
Title: | Dynamic documents with R and knitr |
Author(s): |
Yihui Xie |
Date: | 2014 |
Edition: | 2nd ed. |
Publisher: | Boca Raton: CRC Press |
Size: | 1 online resource (190 p) |
Contents: | Preface -- Author -- List of Figures -- List of Tables -- Introduction -- Reproducible Research -- A First Look -- Editors -- Document Formats -- Text Output -- Graphics -- Cache -- Cross Reference -- Hooks -- Language Engines -- Tricks and Solutions -- Publishing Reports -- R Markdown -- Applications -- Other Tools -- Appendix -- Internals -- Bibliography -- Index. |
ISBN: | 9781482203547 |
Series: | EBL eBook |
Series: | eBooks |
Keywords: | Statistics, Data processing |
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Location: | ONLINE |
Call number: | 9780750672917:ONLINE Show nearby items on shelf |
Title: | Reference data for engineers: radio, electronics, computer, and communications. |
Author(s): |
M. E. Van Valkenburg (ed.) Wendy Middleton (ed.) |
Date: | 2002 |
Edition: | 9th ed. |
Publisher: | ScienceDirect |
Size: | 1 online resource |
Contents: | Radio frequency spectrum management and time frequency standards -- International telephony recommendations -- Units, constants, and conversion factors -- Properties of materials -- Components or parts -- Fundamentals of networks -- Fourier waveform analysis -- Filters, simple bandpass design -- Filters, modern-network-theory design -- Active filter design -- Attenuators -- Measurements and analysis -- Magnetic-core transformers and reactors -- Power electronics -- rectifiers, filters, and power sup plies -- Feedback control systems -- Electron tubes -- Power grid-tube circuits -- Semiconductors and transistors -- Transistor circuits -- Integrated circuits -- Optoelectronics -- Optical communications -- Analog communications -- Digital communications -- Information theory and coding -- Computer communications networks -- Satellite and space communications -- Discrete-time signal processing -- Transmission lines -- Waveguides and resonators -- Scattering matrices -- Antennas -- Electromagnetic-wave pr opagation -- Radio noise and interference -- Broadcasting, cable television, and recording system standards -- Radar -- Radio navigation systems -- Common carrier transmission -- Switching networks and traffic concepts -- Electroacoustics -- Lasers -- Com puter organization and programming -- Logic design -- Probability and statistics -- Reliability and life testing -- Cellular telecommunications systems -- Mathematical equations -- Mathematical tables -- Miscellaneous data. |
ISBN: | 9780750672917 |
Series: | eBooks |
Series: | ScienceDirect |
Keywords: | Electronics. , Computer engineering. , Telecommunication. |
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Call number: | 10310727:ONLINE Show nearby items on shelf |
Title: | A Guide to Microsoft Excel 2007 for scientists and engineers [electronic resource] |
Author(s): |
Bernard V. Liengme David J. Ellert |
Date: | 2009 |
Size: | 1 online resource (336 p.) |
Contents: | 1. The Microsoft Excel Window 2. Basic Operations 3. Printing a Worksheet 4. Using Functions 5. Decision Functions 6. Charts 7. Curve Fitting 8. User-defined Functions 9. Modelling I 10. Solving Equations 11. Numerical Integration 12. Differential Equations 13. Modelling II 14. Statistics for Experimenters 15. Report Writing |
ISBN: | 9780123746238 |
Series: | ebrary eBook |
Series: | eBooks |
Keywords: | Engineering - Data processing , Microsoft Excel (Computer file) , Science - Data processing |
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Call number: | SPRINGER-2016-9784431553878:ONLINE Show nearby items on shelf |
Title: | Applied Matrix and Tensor Variate Data Analysis |
Author(s): | |
Date: | 2016 |
Edition: | 1st ed. 2016 |
Size: | 1 online resource (23 p.) |
Note: | 10.1007/978-4-431-55387-8 |
Contents: | 1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to I mage Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Tos hio Sakata) |
ISBN: | 9784431553878 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Statistics , Statistics and Computing/Statistics Programs , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Social Science, Behavorial Science, Education, Public Policy, and |
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Call number: | SPRINGER-2016-9783319285887:ONLINE Show nearby items on shelf |
Title: | Computational Diffusion MRI MICCAI Workshop, Munich, Germany, October 9th, 2015 |
Author(s): | |
Date: | 2016 |
Size: | 1 online resource (63 p.) |
Note: | 10.1007/978-3-319-28588-7 |
Contents: | An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holist ic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squar es Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor |
images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpeni ng: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusi on-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion | |
Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al | |
ISBN: | 9783319285887 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Computer simulation , Image processing , Bioinformatics , Computer mathematics , Visualization , Statistics , Mathematics , Visualization , Computational Biology/Bioinformatics , Computational Science and Engineering , Simulation and Modeling , Image Processing and Computer Vision , Statistics for Life Sciences, Medicine, Health Sciences |
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Call number: | SPRINGER-2016-9780387878119:ONLINE Show nearby items on shelf |
Title: | Generalized Principal Component Analysis |
Author(s): |
René Vidal |
Date: | 2016 |
Size: | 1 online resource (83 p.) |
Note: | 10.1007/978-0-387-87811-9 |
Contents: | Preface -- Acknowledgments -- Glossary of Notation.- Introduction.- I Modeling Data with Single Subspace -- Principal Component Analysis -- Robust Principal Component Analysis -- Nonlinear and Nonparametric Extensions -- II Modeling Data with Multi ple Subspaces -- Algebraic-Geometric Methods -- Statistical Methods -- Spectral Methods -- Sparse and Low-Rank Methods -- III Applications -- Image Representation -- Image Segmentation -- Motion Segmentation -- Hybrid System Identification -- Final Words -- Appendices -- References -- Index |
ISBN: | 9780387878119 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Interdisciplinary Applied Mathematics: 40 |
Keywords: | Mathematics , Image processing , Algebraic geometry , System theory , Statistics , Mathematics , Systems Theory, Control , Image Processing and Computer Vision , Signal, Image and Speech Processing , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Algebraic Geometry |
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Call number: | SPRINGER-2014-9783319012643:ONLINE Show nearby items on shelf |
Title: | German-Japanese Interchange of Data Analysis Results [electronic resource] |
Author(s): |
Wolfgang Gaul Andreas Geyer-Schulz Yasumasa Baba Akinori Okada |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, fromalgorithmic innovations f or graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis ofasymmetric relationships, and regularization techni ques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volumeare revised and extended versions of selected papers presented in the Ger man/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). |
Contents: | Clustering |
Analysis of Data and Models | |
Applications | |
ISBN: | 9783319012643 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Electronic data processing , Mathematical statistics , Economics Statistics |
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Call number: | SPRINGER-2014-9781493907427:ONLINE Show nearby items on shelf |
Title: | Clusters, Orders, and Trees: Methods and Applications [electronic resource] : In Honor of Boris Mirkin's 70th Birthday |
Author(s): |
Fuad Aleskerov Boris Goldengorin Panos M Pardalos |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkins ground breaking contributions in various fields of decision making anddata analysis have marke d the fourth quarter of the 20th century and beyond.Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hiddenstructuresfirst of all, clusters, orderings, and hier archiesin multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted inMirkin's fundamental contribution to thestate-of-the-art in group choice, ordering, clustering, data mining, and knowledge disc overy. Researchers, students, and software engineers will benefit from new knowledge discovery techniques and application directions |
Contents: | Three and One Questions to Dr. B. Mirkin about Complexity Statistics (I. Mandel) |
Section 1 | |
A Polynomial Algorithm for a Class of 0 | |
1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering (P. Hansen, C. Meyer) | |
Experiments with a Non | |
Convex Variance | |
Based Clustering Criterion (R.F. Toso, E.V. Bauman, C.A. Kulikowski, I.B. Muchnik) | |
Strategy | |
Proof Location Functions on Finite Graphs (F.R. McMorris, H.M. Mulder, F.S. Roberts) | |
A Pseudo | |
Boolean Approach to the Market Graph Analysis by Means of the p | |
Median Model (B. Goldengorin, A. Ko | |
ISBN: | 9781493907427 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Springer Optimization and Its Applications, 1931-6828 : v92 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computational complexity , Electronic data processing |
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Call number: | SPRINGER-2014-9781461496021:ONLINE Show nearby items on shelf |
Title: | Analysis of Neural Data [electronic resource] |
Author(s): |
Robert E Kass Uri T Eden Emery N Brown |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitoustechniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from theliterature, ranging from electrophysiology, to n euroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data.Aimed at experimentalists with only high-school level mathematics, as we ll as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introductionand a reference work |
Contents: | Introduction |
Exploring Data | |
Probability and Random Variables | |
Random Vectors | |
Important Probability Distributions | |
Sequences of Random Variables | |
Estimation and Uncertainty | |
Estimation in Theory and Practice | |
Uncertainty and the Bootstrap | |
Statistical Significance | |
General Methods for Testing Hypotheses | |
Linear Regression | |
Analysis of Variance | |
Generalized Regression | |
Nonparametric Regression | |
Bayesian Methods | |
Multivariate Analysis | |
Time Series | |
Point Processes | |
Appendix: Mathematical Background | |
Example Index | |
Index | |
Bibliography | |
ISBN: | 9781461496021 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Springer Series in Statistics, 0172-7397 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Neurosciences , Mathematical statistics , Psychology, clinical |
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Call number: | SPRINGER-2013-9783642349133:ONLINE Show nearby items on shelf |
Title: | Singular Spectrum Analysis for Time Series [electronic resource] |
Author(s): |
Nina Golyandina Anatoly Zhigljavsky |
Date: | 2013 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing.SSA seeks to decompo se the original series into a sum of a small number of interpretable components such as trend, oscillatory components and noise. It is based on the singular value decomposition of a specific matrix constructed uponthe time series. Neither a parametric mod el nor stationarity are assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability. The present book is devoted to themethodology of SSA and shows how to use SSA both safely and with ma ximum effect. Potential readers of the book include: professional statisticians and econometricians, specialists in any discipline in which problems of time seriesanalysis and forecasting occur, specialists in signal processing and those needed to extract signals from noisy data, and students taking courses on applied time series analysis |
Note: | Springer eBooks |
Contents: | Introduction: Preliminaries |
SSA Methodology and the Structure of the Book | |
SSA Topics Outside the Scope of this Book | |
Common Symbols and Acronyms | |
Basic SSA: The Main Algorithm | |
Potential of Basic SSA | |
Models of Time Series and SSA Objectives | |
Choice of Parameters in Basic SSA | |
Some Variations of Basic SSA | |
SSA for Forecasting, interpolation, Filtration and Estimation: SSA Forecasting Algorithms | |
LRR and Associated Characteristic Polynomials | |
Recurrent Forecasting as Approximate Continuation | |
Confidence Bounds for the Forecast | |
Summary and Recommendations on Forecast | |
ISBN: | 9783642349133 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | SpringerBriefs in Statistics, 2191-544X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9783319000718:ONLINE Show nearby items on shelf |
Title: | Stochastic World [electronic resource] |
Author(s): |
Sergey S Stepanov |
Date: | 2013 |
Publisher: | Heidelberg : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochasticdifferential equations, mea n values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging fromphysics to the financial theory. A reader with bas ic knowledge of the probability theory should have no difficulty in accessing the book content |
Note: | Springer eBooks |
Contents: | Random Events |
Stochastic Equations | |
Mean Values | |
Probabilities | |
Stochastic Integrals | |
Systems of Equations | |
Stochastic Nature | |
Stochastic Society | |
Computer Modeling | |
ISBN: | 9783319000718 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematical Engineering, 2192-4732 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Electronic data processing , Distribution (Probability theory) , Mathematical physics , Statistics |
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Call number: | SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf |
Title: | Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis |
Author(s): |
Berthold Lausen Dirk Van den Poel Alfred Ultsch |
Date: | 2013 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011 |
Note: | Springer eBooks |
Contents: | Invited |
Clustering and Unsupervised Learning | |
Statistical Data Analysis, Visualization and Scaling | |
Bioinformatics and Biostatistics | |
Archaeology and Geography, Psychology and Educational Sciences | |
Text Mining, Social Networks and Clustering | |
Banking and Finance | |
Marketing and Management | |
Music Classification Workshop | |
ISBN: | 9783319000350 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Data mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research |
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Call number: | SPRINGER-2013-9783319000329:ONLINE Show nearby items on shelf |
Title: | Statistical Models for Data Analysis [electronic resource] |
Author(s): |
Paolo Giudici Salvatore Ingrassia Maurizio Vichi |
Date: | 2013 |
Publisher: | Heidelberg : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation ofthe proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the ItalianStatistical Society |
Note: | Springer eBooks |
Contents: | From the contents: Ordering curves by data depth |
May the students' career performance helpful in predicting an increase in universities income? | |
Model | |
based classification via patterned covariance analysis | |
Data stream summarization by histograms clustering | |
Web panel representativeness | |
Nonparametric inference via permutation tests for CUB models | |
Asymmetric multidimensional scaling models for seriations | |
An approach to ranking the hedge funds industry | |
Correction of incoherences in statistical matching | |
The analysis of network additionality in the context of territorial in | |
ISBN: | 9783319000329 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Data mining , Electronic data processing , Educational tests and measurements , Mathematical statistics , Economics Statistics |
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Call number: | SPRINGER-2013-9781461474289:ONLINE Show nearby items on shelf |
Title: | Statistical Methods for Dynamic Treatment Regimes [electronic resource] : Reinforcement Learning, Causal Inference, and Personalized Medicine |
Author(s): |
Bibhas Chakraborty Erica E.M Moodie |
Date: | 2013 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. Thisvolume demonstrates thes e methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medicalparadigm that emphasizes the systematic use of individual patient information to optimize patient health care. This is the first single source to provide an overview of methodology and results gathered from journals, proceedings, andtechnical reports with the goal of orienting researchers to the fiel d. The first chapter establishes context for the statistical reader in the landscape of personalized medicine. Readers need only have familiarity with elementarycalculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where codedoes not already exist, the authors provide analytic approaches in sufficient detail that any researcher with knowled ge of statistical programming could implement the methods from scratch. This will be an important volume for a widerange of researchers, including statisticians, epidemiologists, medical researchers, and machine learning researchers interested in medical applications. Advanced graduate students in statistics and biostatistics will also findmaterial in Statistical Methods for Dynamic Treatment Regimes to be a critical part of their studies |
Note: | Springer eBooks |
Contents: | Introduction |
The Data: Observational Studies and Sequentially Randomized Trials | |
Statistical Reinforcement Learning | |
Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes | |
Estimation of Optimal DTRs by Directly Modeling Regimes | |
G | |
computation: Parametric Estimation of Optimal DTRs | |
Estimation DTRs for Alternative Outcome Types | |
Inference and Non | |
regularity | |
Additional Considerations and Final Thoughts | |
Glossary | |
Index | |
References | |
ISBN: | 9781461474289 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics for Biology and Health, 1431-8776 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Medical records Data processing |
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Call number: | SPRINGER-2012-9789400713666:ONLINE Show nearby items on shelf |
Title: | Numerical Methods with Worked Examples: Matlab Edition [electronic resource] |
Author(s): |
C Woodford C Phillips |
Date: | 2012 |
Edition: | Second Edition |
Publisher: | Dordrecht : Springer Netherlands |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book is for students following an introductory course in numerical methods, numerical techniques or numerical analysis. It introduces MATLAB as a computing environment for experimenting with numerical methods. It approachesthe subject from a pra gmatic viewpoint theory is kept at a minimum commensurate with comprehensive coverage of the subject and it contains abundant worked examples which provide easy understanding through a clear and concisetheoretical treatment. This edition places even great er emphasis on learning by doing than the previous edition. Fully documented MATLAB code for the numerical methods described in the book will be available as supplementarymaterial to to the book on http://extras.springer.com |
Note: | Springer eBooks |
Contents: | 1. Basic Matlab |
2. Linear Equations | |
3.Nonlinear Equations | |
4.Curve Fitting | |
5.Numerical Integration | |
6.Numerical Differentiation | |
7. Linear Programming | |
8.Optimization | |
9.Ordinary Differential Equations | |
10.Eigenvalues and Eigenvectors | |
11. Statistics | |
ISBN: | 9789400713666 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Chemistry , Biology Data processing , Engineering mathematics |
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Call number: | SPRINGER-2012-9788132206286:ONLINE Show nearby items on shelf |
Title: | Statistical Signal Processing [electronic resource] : Frequency Estimation |
Author(s): |
Debasis Kundu Swagata Nandi |
Date: | 2012 |
Publisher: | India : Springer India : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to therandom nature of the s ignal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development ofappropriate techniques for estimation of model par ameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The mainaim of this book is to introduce different signal processing models wh ich have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidalfrequency model which has been used extensively in analyzing periodic data occuring in various f ields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have beenfurther discussed in the literature. Different real data sets have been analyzed to illustrate how different models ca n be used in practice. Several open problems have been indicated for future research |
Note: | Springer eBooks |
Contents: | 1 Introduction |
2 Notations and Preliminaries | |
3 Estimation of Frequencies | |
4 Asymptotic Properties | |
5 Estimating the Number of Components | |
6 Real Data Example | |
7 Multidimensional Models | |
8 Related Models | |
References | |
Index | |
ISBN: | 9788132206286 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | SpringerBriefs in Statistics, 2191-544X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Algorithms , Mathematical statistics , Engineering mathematics |
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Call number: | SPRINGER-2012-9781461433231:ONLINE Show nearby items on shelf |
Title: | Astrostatistics and Data Mining [electronic resource] |
Author(s): |
Luis Manuel Sarro Laurent Eyer William O'Mullane Joris De Ridder |
Date: | 2012 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies nowavailable to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discoverytechniques will have for the full exploitation of these databases. Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors inthe areas of Astrophysics and Statistics, including a significant cont ribution from the various teams that prepared for the processing and analysis of the Gaia data |
Note: | Springer eBooks |
Contents: | ??? 'Science with Gaia: how will we deal with a complex billion |
source catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads) | |
'Recent Advances in cosmological Bayesian model comparison' by Roberto Trotta (University College London, UK) | |
'The Art of Data Science' by Matthew Graham (Center for Advanced Computing Research, California Institute of Technology, USA) | |
'Astronomical Surveys: from SDSS to LSST' by Robert Lupton (Princeton University, USA) | |
'Exoplanet demography, quasar target selection, and probabilistic redshift estimation: Hierarchical m | |
ISBN: | 9781461433231 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Series in Astrostatistics : v2 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Astronomy , Statistics , Mathematical statistics |
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Call number: | SPRINGER-2012-9780817648015:ONLINE Show nearby items on shelf |
Title: | Parametric Statistical Change Point Analysis [electronic resource] : With Applications to Genetics, Medicine, and Finance |
Author(s): |
Jie Chen Arjun K Gupta |
Date: | 2012 |
Edition: | Second Edition |
Publisher: | Boston : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Overall, the book gives a clear and systematic presentation of models and methods. It will be an excellent source for theoretical and applied statisticians who are interested in research on change-point analysis and itsapplications to many areas. Mat hematical Reviews (Review of the First Edition) Revised and expanded, Parametric Statistical Change Point Analysis, Second Edition is an in-depth study of the change point problem from a generalpoint of view, and a deeper look at change point analysis of the most commonly used statistical models. For some time, change point problems have appeared throughout the sciences in such disciplines as economics, medicine, psychology,signal processing, and geology more recently, they havealso been found extensively in applications related to biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. These areas ofinterestnew and oldhave motivated substantial research on change point problems and led to a significant body of literature in the field. The present monograph stands as a valuable contribution to this literature. Key featuresand topics: * Clear and systematic exposition with a great deal of introductory material included * Different models in each chapter, incl uding gamma and exponential models, rarely examined thus far in the literature *Extensive examples to emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approach es * An up-to-date comprehensive bibliography and twoindices. New to the Second Edition: * New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control * Two new sections of applications of the underlying change pointmodels in analyzing the array Comparative Genomic Hybridization (aCGH) data for DNA copy number changes * A new chapter on change points in the |
Note: | Springer eBooks |
Contents: | Preface |
Preliminaries | |
Introduction | |
Univariate Normal Model | |
Multivariate Normal Model | |
Regression Model | |
Gamma Model | |
Exponential Model | |
Change Point Model for the Hazard Function | |
Discrete Models | |
Other Models | |
Bibliography | |
Author Index | |
Subject Index | |
ISBN: | 9780817648015 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematics , Distribution (Probability theory) , Mathematical statistics , Economics Statistics |
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Call number: | SPRINGER-2011-9783642178412:ONLINE Show nearby items on shelf |
Title: | Chemometrics with R [electronic resource] : Multivariate Data Analysis in the Natural Sciences and Life Sciences |
Author(s): |
Ron Wehrens |
Date: | 2011 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Chemometrics with R offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis tomodeling to validation. Se veral more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book scripts, functions and data are available in aseparate, publicly available R package. For res earchers working in the life sciences, the book can also serve as an easy-to-use primer on R |
Note: | Springer eBooks |
Contents: | Introduction |
Part I Preliminaries: Data | |
Preprocessing | |
Part II Exploratory Analysis: Principal Component Analysis | |
Self | |
Organizing Maps | |
Clustering | |
Part III Modelling: Classification | |
Multivariate Regression | |
Part IV Model Inspection: Validation | |
Variable Selection | |
Part V Applications: Chemometric | |
Part VI Appendices: R packages Used in This Book | |
References | |
Index | |
ISBN: | 9783642178412 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Use R |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Life sciences , Chemistry , Bioinformatics , Biology Data processing , Statistics |
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Call number: | SPRINGER-2011-9781441999375:ONLINE Show nearby items on shelf |
Title: | Statistical Modeling of the National Assessment of Educational Progress [electronic resource] |
Author(s): |
Irit Aitkin Murray Aitkin |
Date: | 2011 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. Theneed for a new approa ch was driven by the demands for secondary analysis of the survey data by researchers who needed analyses more detailed than those published by NCES, and the need to accelerate the processing and publication ofresults from the surveys. This new approach i s based on a full multilevel statistical and psychometric model for students responses to the test items, taking into account the design of the survey, the backgrounds of the students,and the classes, schools and communities in which the students were loc ated. The authors detail a fully integrated single model that incorporates both the survey design and the psychometric model by extending the traditional form ofthe psychometric model to accommodate the design structure while allowing for student, teacher , and school covariates |
Note: | Springer eBooks |
Contents: | Theories of Data Analysis and Statistical Inference |
The Current Design and Analysis | |
Psychometric and Survey Models | |
Technical Reports Data Analyses and Simulation Studies | |
1986 NAEP Math Survey | |
Analysis of All 1986Math Iems | |
2005 NAEP Math Survey Texas | |
2005 NAEP Math Survey California | |
Conclusions | |
1986 Survey Results, 30 Item Subscale | |
1986 Survey Results, Full 79 Items | |
Model Parameter Estimates and SEs, 2005 Texas Survey | |
Model Parameter Estimates and SEs, 2005 California survey | |
ISBN: | 9781441999375 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics for Social and Behavioral Sciences |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Educational tests and measurements , Psychometrics |
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Call number: | SPRINGER-2010-9780817648800:ONLINE Show nearby items on shelf |
Title: | Mathematics for Multimedia [electronic resource] |
Author(s): |
Mladen Victor Wickerhauser |
Date: | 2010 |
Edition: | 1 |
Publisher: | Boston : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This concise textbook presents the mathematics that is foundational to multimedia applications. Featuring a rigorous survey of selected results from algebra and analysis, the work examines tools used to create applicationsoftware for multimedia signa l processing and communication. Key features include: * Over 100 exercises with complete solutions * Useful algorithms presented in pseudocode and Standard C to help readers with programming,experimentation, and the solution of exercises * Numerous illust rations based on data from real studies * Suggestions for further reading at the end of each chapter * A companion websitemaintained by the authorprovidingcomputer programs described in the book as well as additional references and data files, such as ima ges and sounds, to enhance the readers understanding of key topics * A supplementary manualcontaining several hundred exercises,solutions, and sample programs not included in the bookavailable to instructors upon request * Minimal prerequisitesonly an und ergraduate-level knowledge of mathematics, not including statistics, is required. Mathematics forMultimedia is an ideal textbook for upper undergraduate and beginning graduate students in pure and applied mathematics, engineering, and computer science see king an innovative approach to contemporary mathematics with practicalapplications. The work may also serve as a useful reference for multimedia applications developers and other researchers and practitioners interested in the mathematics underlying multi media software design and implementation |
Note: | Springer eBooks |
Contents: | ANHA Series Preface |
Preface | |
Numbers and Arithmetic | |
Space and Linearity | |
Time and Frequency | |
Sampling and Estimation | |
Scale and Resolution | |
Redundancy and Information | |
Answers | |
Basics, Technicalities, and Digressions | |
Index | |
ISBN: | 9780817648800 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Applied and Numerical Harmonic Analysis |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Multimedia systems , Fourier analysis , Algorithms , Computer software |
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Call number: | SPRINGER-2009-9781402091438:ONLINE Show nearby items on shelf |
Title: | Complex Dynamics in Physiological Systems: From Heart to Brain [electronic resource] |
Author(s): |
Syamal K Dana Prodyot K Roy Jrgen Kurths |
Date: | 2009 |
Publisher: | Dordrecht : Springer Netherlands |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine nonlinear data analysis has helped todetect the progress of cardi ac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset ofepileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural models. The book is a collection of recent research papers by leading physicists,mathematicians, cardiologists and neurobiologists who are actively involved in using th e concepts of nonlinear dynamics to explore the functional behaviours of heart and brain under normal and pathological conditions. This collectionis intended for students in physics, mathematics and medical sciences, and researchers in interdisciplinary a reas of physics and biology |
Note: | Springer eBooks |
Contents: | Data Analysis |
A Unified Approach to Attractor Reconstruction | |
Multifractal Analysis of Physiological Data: A Non | |
Subjective Approach | |
Direction of Information Flow Between Heart Rate, Blood Pressure and Breathing | |
Cardiovascular Physics: Modelling | |
The Mathematical Modelling of Inhomogeneities in Ventricular Tissue | |
Controlling Spiral Turbulence in Simulated Cardiac Tissue by Low | |
Amplitude Traveling Wave Stimulation | |
Suppression of Turbulent Dynamics in Models of Cardiac Tissue by Weak Local Excitations | |
Synchronization Phenomena in Networks of Oscillatory and Excitable Luo | |
Ru | |
ISBN: | 9781402091438 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Understanding Complex Systems, 1860-0832 |
Series: | Physics and Astronomy (Springer-11651) |
Keywords: | Medicine , Biology Data processing , Biomedical engineering , Statistics , Engineering |
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Call number: | SPRINGER-2009-9780817648046:ONLINE Show nearby items on shelf |
Title: | Data Modeling for Metrology and Testing in Measurement Science [electronic resource] |
Author(s): |
Franco Pavese Alistair B Forbes |
Date: | 2009 |
Publisher: | Boston : Birkhuser Boston |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having abroad range of real- world applications in measurement science. Mainstream methods of data modeling and analysis typically rely on certain assumptions that do not hold for many practical applications. Developed in this work are methodsand computational tools to address genera l models that arise in practice, allowing for a more valid treatment of calibration and test data and providing a deeper understanding of complex situations in measurement science. Additionalfeatures and topics of the book include: * Introduction to model ing principles in metrology and testing * Presentation of a basic probability framework in metrology and statistical approaches to uncertainty assessment * Discussion ofthe latest developments in data analysis using least squares, Fast Fourier Transform, wavelets, and fuzzy logic methods * Data fusion using neural networks, fuzzy methods, decision making, and risk analysis * A computer-assisted,rigorous approach to data evaluation and analysis of measurement software validity * Introduction to virtual ins truments, and an overview of IT tools for measurement science Data Modeling for Metrology and Testing in MeasurementScience may be used as a textbook in graduate courses on data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists,mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science |
Note: | Springer eBooks |
Contents: | Preface |
List of Contributors | |
An Introduction to Data Modelling Principles in Metrology and Testing | |
Probability in Metrology | |
Three Statistical Paradigms for the Assessment and Interpretation of Measurement Uncertainty | |
Interval Computations and Interval | |
Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements | |
Parameter Estimation Based on Least Squares Methods | |
Frequency and TimeFrequency Domain Analysis Tools in Measurement | |
Data Fusion, Decision | |
Making, and Risk Analysis: Mathematical Tools and Techniq | |
ISBN: | 9780817648046 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Modeling and Simulation in Science, Engineering and Technology |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science Mathematics , Distribution (Probability theory) , Mathematical statistics , Statistics , Industrial engineering |
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Call number: | SPRINGER-2009-9780387981444:ONLINE Show nearby items on shelf |
Title: | Computational Statistics [electronic resource] |
Author(s): |
James E Gentle |
Date: | 2009 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Computational inference has taken its place alongside asymptotic inference and exact techniques in the standard collection of statistical methods. Computational inference is based on an approach to statistical methods that usesmodern computational po wer to simulate distributional properties of estimators and test statistics. This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDFdecomposition, that arise in a wide range of m ethods. The book assumes an intermediate background in mathematics, computing, and applied and theoretical statistics. The first part of the book, consisting of a single long chapter,reviews this background material while introducing computationally-inten sive exploratory data analysis and computational inference. The six chapters in the second part of the book are on statistical computing. This part describesarithmetic in digital computers and how the nature of digital computations affects algorithms used in statistical methods. Building on the first chapters on numerical computations and algorithm design, the following chapters cover themain areas of statistical numerical analysis, that is, approximation of functions, numerical quadrature, numerical line ar algebra, solution of nonlinear equations, optimization, and random number generation. The third and fourth partsof the book cover methods of computational statistics, including Monte Carlo methods, randomization and cross validation, the bootstrap, pro bability density estimation, and statistical learning. The book includes a large number ofexercises with some solutions provided in an appendix. James E. Gentle is University Professor of Computational Statistics at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the AmericanAssociation for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journa |
Note: | Springer eBooks |
Contents: | Preliminaries |
Mathematical and Statistical Preliminaries | |
Statistical Computing | |
Computer Storage and Arithmetic | |
Algorithms and Programming | |
Approximation of Functions and Numerical Quadrature | |
Numerical Linear Algebra | |
Solution of Nonlinear Equations and Optimization | |
Generation of Random Numbers | |
Methods of Computational Statistics | |
Graphical Methods in Computational Statistics | |
Tools for Identification of Structure in Data | |
Estimation of Functions | |
Monte Carlo Methods for Statistical Inference | |
Data Randomization, Partitioning, and Augmentation | |
Bootstrap Met | |
ISBN: | 9780387981444 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics and Computing, 1431-8784 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Electronic data processing , Data mining , Computer simulation , Numerical analysis , Mathematical statistics , Engineering mathematics |
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Call number: | SPRINGER-2009-9780387848587:ONLINE Show nearby items on shelf |
Title: | The Elements of Statistical Learning [electronic resource] Data Mining, Inference, and Prediction |
Author(s): |
Trevor Hastie Robert Tibshirani Jerome Friedman |
Date: | 2009 |
Edition: | Second Edition |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge ofunderstanding these data ha s led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are oftenexpressed with different terminology. This book d escribes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples aregiven, with a liberal use of color graphics. It is a valuable resource f or statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervisedlearning. The many topics include neural networks, support vector machines, classification tre es and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in theoriginal, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for``wide'' data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in thisarea: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling softw are and environment in R/S-PLUS and invented principal curves andsurfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inve |
Note: | Springer eBooks |
Contents: | Overview of Supervised Learning |
Linear Methods for Regression | |
Linear Methods for Classification | |
Basis Expansions and Regularization | |
Kernel Smoothing Methods | |
Model Assessment and Selection | |
Model Inference and Averaging | |
Additive Models, Trees, and Related Methods | |
Boosting and Additive Trees | |
Neural Networks | |
Support Vector Machines and Flexible Discriminants | |
Prototype Methods and Nearest | |
Neighbors | |
Unsupervised Learning | |
Random Forests | |
Ensemble Learning | |
Undirected Graphical Models | |
High | |
Dimensional Problems: p ? N | |
ISBN: | 9780387848587 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Series in Statistics, 0172-7397 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Data mining , Artificial intelligence , Bioinformatics , Biology Data processing , Mathematical statistics |
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Call number: | SPRINGER-2009-9780387709840:ONLINE Show nearby items on shelf |
Title: | Mathematical Biology [electronic resource] : An Introduction with Maple and Matlab |
Author(s): |
Ronald W Shonkwiler James Herod |
Date: | 2009 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. It updates an earlier successful edition and greatly expands the concept of the computerbiology laboratory, giving students a general perspective of the field before proceeding to more specialized topics. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field ofgenomics. It includes new chapters on parasites, ca ncer, and phylogenetics, along with an introduction to online resources for DNA, protein lookups, and popular pattern matching tools such as BLAST. In addition, the emerging field ofalgebraic statistics is introduced and its power illustrated in the conte xt of phylogenetics. A unique feature of the book is the integration of a computer algebra system into the flow of ideas in a supporting but unobtrusive role.Syntax for both the Maple and Matlab systems is provided in a tandem format. The use of a compute r algebra system gives the students the opportunity to examine what if scenarios, allowing them to investigate biological systems in away never before possible. For students without access to Maple or Matlab, each topic presented is complete. Graphic visu alizations are provided for all mathematical results. Mathematical Biology includes extensive exercises, problemsand examples. A year of calculus with linear algebra is required to understand the material presented. The biology presented proceeds from the study of populations down to the molecular level no previous coursework in biology isnecessary. The book is appropriate for undergraduate and graduate students studying mathematics or biology and for scientists and researchers who wish to study the appli cations of mathematics and computers in the natural sciences |
Note: | Springer eBooks |
Contents: | Biology, Mathematics and a Mathematical Biology Laboratory |
Some Mathematical Tools | |
Reproduction of the Drive for Survival | |
Interactions Between Organisms and Their Environment | |
Age | |
Dependent Population Structures | |
Random Movements in Space and Time | |
The Biological Disposition of Drugs and Inorganic Toxins | |
Neurophysiology | |
The Biochemistry of Cells | |
The Biological Disposition of Drugs and Inorganic Toxins | |
A Biomathematical Approach to HIV and AIDS | |
Parasites and Their Diseases | |
Genetics | |
Genomics | |
Phylogenetics | |
ISBN: | 9780387709840 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Undergraduate Texts in Mathematics, 0172-6056 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science , Biology Data processing , Biology Mathematics , Distribution (Probability theory) |
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Call number: | SPRINGER-2008-9780387790541:ONLINE Show nearby items on shelf |
Title: | Introductory Statistics with R [electronic resource] |
Author(s): |
Peter Dalgaard |
Date: | 2008 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis andmethodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples withliberal commenting of the code and the output, from t he computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets. The statistical methodology includes statisticalstandard distributions, one- and two-sample tests with continuous data, regressi on analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last sixchapters contain introductions to multiple linear regression analysis, linear models in general, logi stic regression, survival analysis, Poisson regression, and nonlinear regression. In the second edition, the text and code have beenupdated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The in troductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answersare now provided in an Appendix. Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of HealthSciences. He has been a member of the R Core Team since 1997 |
Note: | Springer eBooks |
ISBN: | 9780387790541 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics and Computing, 1431-8784 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Bioinformatics , Biology Data processing , Mathematical statistics |
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Call number: | SPRINGER-2008-9780387772400:ONLINE Show nearby items on shelf |
Title: | Bioconductor Case Studies [electronic resource] |
Author(s): |
Florian Hahne Wolfgang Huber Robert Gentleman Seth Falcon |
Date: | 2008 |
Edition: | 1 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. Inthis volume, the auth ors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include * import and preprocessing of data from various sources * statisticalmodeling of differential gene expression * biolog ical metadata * application of graphs and graph rendering * machine learning for clustering and classification problems * gene set enrichment analysis Each chapter of this book describesan analysis of real data using hands-on example driven approaches. Sh ort exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executedon a local computer, and readers are able to reproduce every computation, figure, and table . The authors of this book have longtime experience in teaching introductory and advanced courses to the application of Bioconductor software.Florian Hahne is a Postdoc at the Fred Hutchinson Cancer Research Center in Seattle, developing novel methodologi es for the analysis of high-throughput cell-biological data. Wolfgang Huber is a research group leader in the EuropeanMolecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has wide-ranging experience in the development of methods for the analysis of functional genomics experiments. Robert Gentleman is Head of theProgram in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle, and he is one of the two authors of the original R system. Seth Falcon i s a member of the R core team and former project manager and developerfor the Bioconductor project |
Note: | Springer eBooks |
Contents: | The ALL Dataset |
R and Bioconductor Introduction | |
Processing Affymetrix Expression Data | |
Two Color Arrays | |
Fold Changes, Log Ratios, Background Correction, Shrinkage Estimation, and Variance Stabilization | |
Easy Differential Expression | |
Differential Expression | |
Annotation and Metadata | |
Supervised Machine Learning | |
Unsupervised Machine Learning | |
Using Graphs for Interactome Data | |
Graph Layout | |
Gene Set Enrichment Analysis | |
Hypergeometric Testing Used for Gene Set Enrichment Analysis | |
Solutions to Exercises | |
ISBN: | 9780387772400 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Use R! |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Bioinformatics , Biology Mathematics |
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Call number: | SPRINGER-2008-9780387732510:ONLINE Show nearby items on shelf |
Title: | Studying Human Populations [electronic resource] : An Advanced Course in Statistics |
Author(s): |
Nicholas T Longford |
Date: | 2008 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Studying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities of sampling,measurement and inference. Statistics is defined broadly as making decisions in the presence of uncertainty that arises as a consequence of limited resources available for collecting information. A connecting link of the presentedmethods is the perspective of missing information, catering for a diverse class of problems that include nonresponse, imperfect measurement and causal inference. In principle, any problem too complex for our limited analytical toolkitcould be converted to a tractable problem if some additional information were available. Ingenuity is called for in declaring such (missing) information constructively, but the universe of problems that we can address is wide open, notlimited by a discrete set of procedures. The monograph aims to prepare the reader for the ca reer of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying human populations:formulation of the inferential goals, design of studies, search for the sources of relevant information, analysis and pres entation of results. Elementary linear algebra and calculus are prerequisites, although the exposition is quiteforgiving, especially in the first few chapters. Familiarity with statistical software at the outset is an advantage, but it can be developed co ncurrently with studying the text. Nicholas T. Longford directs the statistical researchand consulting company SNTL in Reading, England. He had held senior research posts at the Educational Testing Service, Princeton, NJ, and De Montfort University, Leice ster, England. He was awarded the first Campion Fellowship by theRoyal Statistical Society (2000-2002). He is a member of the editorial boards of the British Journal of Mathematical and Statistical Psyc |
Note: | Springer eBooks |
Contents: | Anova and Ordinary Regression |
Maximum Likelihood Estimation | |
Sampling Methods | |
The Bayesian Paradigm | |
Incomplete Data | |
Imperfect Measurement | |
Experiments and Observational Studies | |
Clinical Trials | |
Random Coefficients | |
Generalised Linear Models | |
Longitudinal and Time | |
Series Analysis | |
Meta | |
Analysis and Estimating Many Quantities | |
ISBN: | 9780387732510 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Texts in Statistics, 1431-875X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Epidemiology , Electronic data processing , Computer simulation , Biometrics , Mathematical statistics , Psychometrics |
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Call number: | SPRINGER-2007-9783540465515:ONLINE Show nearby items on shelf |
Title: | Algorithms for Approximation [electronic resource] : Proceedings of the 5th International Conference, Chester, July 2005 |
Author(s): |
Armin Iske Jeremy Levesley |
Date: | 2007 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including patternrecognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, itgives important computational aspects and multidisc iplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for thesolution of their specific problems. An important feature of the book is th at it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide rangeof inherent scales. Contributions of industrial mathematicians, including representatives from Mi crosoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications |
Note: | Springer eBooks |
Contents: | Imaging and Data Mining |
Ranking as Function Approximation | |
Two Algorithms for Approximation in Highly Complicated Planar Domains | |
Computational Intelligence in Clustering Algorithms, With Applications | |
Energy | |
Based Image Simplification with Nonlocal Data and Smoothness Terms | |
Multiscale Voice Morphing Using Radial Basis Function Analysis | |
Associating Families of Curves Using Feature Extraction and Cluster Analysis | |
Numerical Simulation | |
Particle Flow Simulation by Using Polyharmonic Splines | |
Enhancing SPH using Moving Least | |
Squares and Radial Basis Functions | |
Stepwise Calc | |
ISBN: | 9783540465515 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science , Functions, special , Computer science Mathematics , Engineering mathematics |
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Call number: | SPRINGER-2007-9780387708737:ONLINE Show nearby items on shelf |
Title: | Matrix Algebra [electronic resource] : Theory, Computations, and Applications in Statistics |
Author(s): |
James E Gentle |
Date: | 2007 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications instatistics. This part begins w ith the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariatecalculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matricesencountered in statistics, such as projection matrices and positive definite mat rices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics,including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the textfor a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics. The third part of this book covers numerical linear algebra. It begins with adiscussion of the basics of numerical computations, and then describes accurate and efficient algorithms for factoring matrices, solving linear systems o f equations, and extracting eigenvalues and eigenvectors. Although the book is nottied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. This part is essentially self-co ntained, although it assumes some ability to program inFortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or |
Note: | Springer eBooks |
Contents: | Linear Algebra |
Basic Vector/Matrix Structure and Notation | |
Vectors and Vector Spaces | |
Basic Properties of Matrices | |
Vector/Matrix Derivatives and Integrals | |
Matrix Transformations and Factorizations | |
Solution of Linear Systems | |
Evaluation of Eigenvalues and Eigenvectors | |
Applications in Data Analysis | |
Special Matrices and Operations Useful in Modeling and Data Analysis | |
Selected Applications in Statistics | |
Numerical Methods and Software | |
Numerical Methods | |
Numerical Linear Algebra | |
Software for Numerical Linear Algebra | |
ISBN: | 9780387708737 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Texts in Statistics, 1431-875X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Electronic data processing , Computer science , Computer science Mathematics , Mathematical statistics , Engineering |
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Call number: | SPRINGER-2006-9783790817096:ONLINE Show nearby items on shelf |
Title: | Compstat 2006 - Proceedings in Computational Statistics [electronic resource] : 17th Symposium Held in Rome, Italy, 2006 |
Author(s): |
Alfredo Rizzi Maurizio Vichi |
Date: | 2006 |
Publisher: | Heidelberg : Physica-Verlag HD |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The book provides new developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including new topics which are of central interest to modern statistics. The reader will findadvanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data bases. Furthermore, the volume includes papers devoted to original and innovative applications of recentstatistical theory and complex approaches of statis tical data analysis |
Note: | Springer eBooks |
Contents: | Part I: Classification and Clustering |
Part II: Image Analysis and Signal Processing | |
Part III: Data Visualization | |
Part IV: Multivariate Analysis | |
Part V: Web Based Teaching | |
Part VI: Algorithms | |
Part VII: Robustness | |
Part on CD: Part VIII: Categorical Data Analysis | |
Part IX: Multivariate Data Analysis II | |
Part X: Classification and Clustering II | |
Part XI: Data Mining | |
Part XII: Biostatistics | |
Part XIII: Resampling Methods | |
Part XIV Functional Data Analysis | |
Part XV: Time Series Analysis and Spatial Analysis | |
Part XVI: Nonparametric Statistics and Smoothing | |
Pa | |
ISBN: | 9783790817096 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Computer science , Information storage and retrieval systems , Mathematical statistics |
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Call number: | SPRINGER-2006-9783540312727:ONLINE Show nearby items on shelf |
Title: | Visualization and Processing of Tensor Fields [electronic resource] |
Author(s): |
Joachim Weickert Hans Hagen |
Date: | 2006 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Matrix-valued data sets - so-called second order tensor fields - have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is thefirst edited volume that presents the state-of-the-art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of originalwork by leading experts that has not been publi shed before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars forgraduate and doctoral students |
Note: | Springer eBooks |
Contents: | An Introduction to Tensors |
Feature Detection with Tensors | |
Adaptive Structure Tensors and their Applications | |
On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor | |
Low | |
level Feature Detection Using the Boundary Tensor | |
Diffusion Tensor Imaging | |
An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond | |
Random Noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections | |
An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications | |
Anatomy | |
Based Visualizations of Diffusi | |
ISBN: | 9783540312727 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Visualization, 1612-3786 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Radiology, Medical , Computer vision , Visualization , Global differential geometry , Economics Statistics |
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Call number: | SPRINGER-2005-9783540286752:ONLINE Show nearby items on shelf |
Title: | Getting Started with MuPAD [electronic resource] |
Author(s): |
Miroslaw Majewski |
Date: | 2005 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The world of mathematics is probably one of the most fascinating creations of mankind. The world of mathematics with a Computer Algebra System, like MuPAD, is even more fascinating. With MuPAD, we can develop mathematicalconcepts, explore them and vi sualize them with just a few simple commands. This book is a gentle introduction to MuPAD - a modern Computer Algebra System. The author introduces MuPAD step by step and shows how we can use it in variousareas of mathematics. A large chapter of the book is devoted to the graphical visualization of mathematical concepts ,and MuPAD graphics are also used extensively throughout the rest of the book. Each chapter of the book should beconsidered as a single workshop for MuPAD beginners. The whole book is a pe rfect resource for conducting workshops on using Computer Algebra Systems to explore, experiment with, and visualize mathematical concepts |
Note: | Springer eBooks |
Contents: | Introduction to MuPAD |
Mathematical graphics with MuPAD | |
Introduction to calculus of one variable | |
Multivariable calculus | |
Algebra with MuPAD | |
Data visualization and elementary statistics | |
A brief introduction to programming | |
ISBN: | 9783540286752 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Algebra Data processing , Algebra , Computer software , Statistics |
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Call number: | SPRINGER-2005-9783540282969:ONLINE Show nearby items on shelf |
Title: | Computational Commutative Algebra 2 [electronic resource] |
Author(s): |
Martin Kreuzer Lorenzo Robbiano |
Date: | 2005 |
Publisher: | Berlin, Heidelberg : Springer Berlin Heidelberg |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Computational Commutative Algebra 2 is the natural continuation of Computational Commutative Algebra 1 with some twists, starting with the differently coloured cover graphics. The first volume had 3 chapters, 20 sections, 44tutorials, and some amusin g quotes. Since bigger is better, this book contains 3 chapters filling almost twice as many pages, 23 sections (some as big as a whole chapter), and 55 tutorials (some as big as a whole section). The numberof jokes and quotes has increased exponentially due to the little-known fact that a good mathematical joke is better than a dozen mediocre papers. The main part of this book is a breathtaking passeggiata through the computationaldomains of graded rings and modules and their Hilbert functions. Besides G rbner bases, we encounter Hilbert bases, border bases, SAGBI bases, and even SuperG bases. The tutorials traverse areas ranging from algebraic geometry andcombinatorics to photogrammetry, magic squares, coding theory, statistics, and automatic theorem pro ving. Whereas in the first volume gardening and chess playing were not treated, in this volume they are. This is a book for learning,teaching, reading, and most of all, enjoying the topic at hand. The theories it describes can be applied to anything from children's toys to oil production. If you buy it, probably one spot on your desk will be lost forever! |
Note: | Springer eBooks |
Contents: | Foreword |
Introduction | |
The Homogeneous Case | |
Hilbert Functions | |
Further Applications | |
A. The ABC of CoCoA 5 | |
B. Suggestions for Further Reading | |
C. Hints for Selected Exercises | |
Bibliography | |
ISBN: | 9783540282969 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Algebra Data processing , Algebra , Geometry, algebraic , Algorithms |
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Call number: | SPRINGER-2005-9780387281230:ONLINE Show nearby items on shelf |
Title: | Developing Statistical Software in Fortran 95 [electronic resource] |
Author(s): |
David R Lemmon Joseph L Schafer |
Date: | 2005 |
Publisher: | New York, NY : Springer New York |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develophigh-quality statistica l software. Topics include how to Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs)and Windows-based software components Develop graphical user interfaces (GUIs). Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are evengiven a tutorial on creating GUIs for Fortran computational code u sing Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programminglanguage such as Basic, Fortran or C is helpful but not required. More experienced programme rs will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary textfor a graduate course on statistical computing. David R. Lemmon is a Research Associate at The Methodology Center i n The Pennsylvania State University's College of Health and Human Development. He holds a Ph.D. in MechanicalEngineering from the University of Cincinnati. His areas of previous work include finite element analysis, automobile crash simulation, and biomec hanical modeling of the diabetic foot. Since 2001, he has served as the Center's SeniorStatistical Programmer, managing the creation of new statistical software for research and education. Joseph L. Schafer is Associate Professor in the Department of Stat istics at The Pennsylvania State University and a PrincipalInvestigator at The Methodology Center. He holds a Ph.D. in Statistics from Harvard University. His areas of research include statistical metho |
Note: | Springer eBooks |
Contents: | Motivation |
to Modern Fortran | |
A Pseudo Object | |
Oriented Style | |
Implementing Computational Routines | |
Developing a Console Application | |
Creating and Using Dynamic | |
Link Libraries | |
Creating COM Servers | |
Creating COM Clients | |
ISBN: | 9780387281230 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics and Computing, 1431-8784 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Electronic data processing , Computer science Mathematics , Computer science , Mathematical statistics |
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Call number: | SPRINGER-2004-9783034879583:ONLINE Show nearby items on shelf |
Title: | Theory and Applications of Recent Robust Methods |
Author(s): | |
Date: | 2004 |
Size: | 1 online resource (400 p.) |
Note: | 10.1007/978-3-0348-7958-3 |
Contents: | Bias Behavior of the Minimum Volume Ellipsoid Estimate -- A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight -- Robust Strategies for Quantitative Investment |
Management -- An Adaptive Algorithm for Quantile Regression -- On Properties of Support Vector Machines for Pattern Recognition in Finite Samples -- Smoothed Local L-Estimation With an Application -- Fast Algorithms for Computing High | |
Breakdown Covariance Matrices with Missing Data -- Generalized d-fullness Technique for Breakdown Point Study of the Trimmed Likelihood Estimator with Application -- On Robustness to Outliers of Parametric L2 Estimate Criterion in the | |
Case of Bivariate Normal Mixtures: a Simulation Study -- Robust PCR and Robust PLSR: a Comparative Study -- Analytic Estimator Densities for Common Parameters under Misspecified Models -- Empirical Comparison of the Classification | |
Performance of Robust Linear and Quadratic Discriminant Analysis -- Estimates of the Tail Index Based on Nonparametric Tests -- On Mardia’s Tests of Multinormality -- Robustness in Sequential Discrimination of Markov Chains under | |
“Contamination” -- Robust Box-Cox Transformations for Simple Regression -- Consistency of the Least Weighted Squares Regression Estimator -- Algorithms for Robust Model Selection in Linear Regression -- Analyzing the Number of Samples | |
Required for an Approximate Monte-Carlo LMS Line Estimator -- Visualizing 1D Regression -- Robust Redundancy Analysis by Alternating Regression -- Robust ML-estimation of the Transmitter Location -- A Family of Scale Estimators by | |
Means of Trimming -- Robust Efficient Method of Moments Estimation -- Computational Geometry and Statistical Depth Measures -- Partial Mixture Estimation and Outlier Detection in Data and Regression -- Robust Fitting Using Mean Shift: | |
Applications in Computer Vision -- Testing the Equality of Location Parameters for Skewed Distributions Using S1 with High Breakdown Robust Scale Estimators -- Rank Scores Tests of Multivariate Independence -- The Influence of a | |
Stochastic Interest Rate on the n-fold Compound Option -- Robust Estimations for Multivariate Sinh-1-Normal Distribution -- A Robust Estimator of the Tail Index Based on an Exponential Regression Model -- Robust Processing of | |
Mechanical Vibration Measurements -- Quadratic Mixed Integer Programming Models in Minimax Robust Regression Estimators | |
ISBN: | 9783034879583 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Statistics for Business/Economics/Mathematical Finance/Insurance |
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Call number: | SPRINGER-2004-9781475742848:ONLINE Show nearby items on shelf |
Title: | Statistical Analysis and Data Display An Intermediate Course with Examples in S-Plus, R, and SAS |
Author(s): |
Richard M Heiberger |
Date: | 2004 |
Size: | 1 online resource (730 p.) |
Note: | 10.1007/978-1-4757-4284-8 |
Contents: | 1 Introduction and Motivation -- 2 Data and Statistics -- 3 Statistics Concepts -- 4 Graphs -- 5 Introductory Inference -- 6 One-Way Analysis of Variance -- 7 Multiple Comparisons -- 8 Linear Regression by Least Squares -- 9 Multiple |
Regression—More Than One Predictor -- 10 Multiple Regression—Dummy Variables and Contrasts -- 11 Multiple Regression—Regression Diagnostics -- 12 Two-Way Analysis of Variance -- 13 Design of Experiments—Factorial Designs -- 14 Design | |
of Experiments—Complex Designs -- 15 Bivariate Statistics—Discrete Data -- 16 Nonparametrics -- 17 Logistic Regression -- 18 Time Series Analysis -- A Software -- A.1 Statistical Software -- A.2 Text Editing Software -- A.2.1 Emacs -- | |
A.2.2 Microsoft Word -- A.3 Word Processing Software -- A.3.2 Microsoft Word -- A.4 Graphics Display Software -- A.5 Operating Systems -- A.6 Mathematical Fonts -- A.7 Directory Structure -- A.7.1 HOME Directory -- A.7.2 HH Book Online | |
Files -- B.1 Create Your Working Directory and Make the HH Library Available -- B.1.3 Windows and R -- B.1.6 Unix and R -- B.4 HH Library Functions -- B.5 Learning the S Language -- B.6 S Language Style -- C SAS -- C.1 Make the HH | |
Library Available -- C.1.1 Windows -- C.1.2 Unix -- C.2 Using SAS with HH -- C.2.1 Reading HH Datasets -- C.2.2 Any Other Data Files -- C.2.3 ASCII Data Files with TAB Characters -- C.2.4 Windows and Unix EOL (End-of-Line) Conventions | |
-- C.3 Macros -- C.4 Learning the SAS Language -- C.5 SAS Coding Conventions -- D Probability Distributions -- D.1.1 An Example Involving Calculations with the Binomial Distribution -- D.2 Noncentral Probability Distributions -- E | |
Editors -- E.1 Working Style -- E.2 Typography -- E.3 Emacs and ESS -- E.3.1 ESS -- E.3.2 Mouse and Keyboard -- E.3.3 Learning Emacs -- E.3.4 Requirements -- E.4 Microsoft Word -- E.4.1 Learning Word -- E.4.2 Requirements 6 -- E.5 | |
Microsoft Excel -- E.5.1 Database Management -- E.5.2 Organizing Calculations -- E.5.3 Excel as a Statistical Calculator -- E.6 Exhortations, Some of Which Are Writing Style -- E.6.1 Writing Style -- E.6.2 Programming Style and Common | |
Errors -- E.6.3 Presentation of Results -- F Mathematics Preliminaries -- F.1 Algebra Review -- F.2 Elementary Differential Calculus -- F.3 An Application of Differential Calculus -- F.4 Topics in Matrix Algebra -- F.4.1 Elementary | |
Operations -- F.4.2 Linear Independence -- F.4.3 Rank -- F.4.4 Quadratic Forms -- F.4.5 Orthogonal Transformations -- F.4.6 Orthogonal Basis -- F.4.8 Matrix Factorization—Cholesky -- F.4.9 Orthogonal Polynomials -- F.4.10 Projection | |
Matrices -- F.4.11 Geometry ot Mlatrices -- F.4.12 Eigenvalues and Eigenvectors -- F.4.13 Singular Value Decomposition -- F.4.14 Generalized Inverse -- F.4.15 Solving Linear Equations -- F.5 Combinations and Permutations -- F.5.1 | |
Factorial -- F.5.2 Permutations -- F.5.3 Combinations -- F.6 Exercises -- G Graphs Based on Cartesian Products -- G.1 Structured Sets of Graphs -- G.1.1 Cartesian Products -- G.1.2 Trellis Paradigm -- G.2 Scatterplot Matrices: splom | |
and xysplom -- G.3 Cartesian Products of Sets of Functions -- G.4 Graphs Requiring Multiple Calls to xysplom -- G.5 Asymmetric Roles for the Row and Column Sets -- G.6 Rotated Plots -- G.7 Squared Residual Plots -- G.8 Alternate | |
Presentations -- References -- List of Datasets | |
ISBN: | 9781475742848 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistical Theory and Methods |
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Call number: | SPRINGER-2003-9783662055946:ONLINE Show nearby items on shelf |
Title: | Adaptivity and Learning An Interdisciplinary Debate |
Author(s): | |
Date: | 2003 |
Size: | 1 online resource (403 p.) |
Note: | 10.1007/978-3-662-05594-6 |
Contents: | Adaptivity and Learning — an Interdisciplinary Debate -- I Biology and Behaviour of Adaptation and Learning -- Biology of Adaptation and Learning -- The Adaptive Properties of the Phosphate Uptake System of Cyanobacteria: Information |
Storage About Environmental Phosphate Supply -- Cognitive Architecture of a Mini-Brain -- Cerebral Mechanisms of Learning Revealed by Functional Neuroimaging in Humans -- Creating Presence by Bridging Between the Past and the Future: | |
the Role of Learning and Memory for the Organization of Life -- II Physics Approach to Learning — Neural Networks and Statistics -- The Physics Approach to Learning in Neural Networks -- Statistical Physics of Learning and | |
Generalization -- The Statistical Physics of Learning: Phase Transitions and Dynamical Symmetry Breaking -- The Complexity of Learning with Supportvector Machines — A Statistical Physics Study -- III Mathematical Models of Learning -- | |
Mathematics Approach to Learning -- Learning and the Art of Fault-Tolerant Guesswork -- Perspectives on Learning Symbolic Data with Connectionistic Systems -- Statistical Learning and Kernel Methods -- Inductive Versus Approximative | |
Learning -- IV Learning by Experience -- Learning by Experience -- Learning by Experience from Others — Social Learning and Imitation in Animals and Robots -- Reinforcement Learning: a Brief Overview -- A Simple Model for Learning from | |
Unspecific Reinforcement -- V Human-Like Cognition and AI Learning -- Aspects of Human-Like Cognition and AI Learning -- Making Robots Learn to See -- Using Machine Learning Techniques in Complex Multi-Agent Domains -- Learning | |
Similarities for Informally Defined Objects -- Semiotic Cognitive Information Processing: Learning to Understand Discourse. A Systemic Model of Meaning Constitution | |
ISBN: | 9783662055946 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Physics , Philosophy , Computers , Evolutionary biology , Statistical physics , Dynamical systems , Control engineering , Robotics , Mechatronics , Physics , Physics, general , Statistical Physics, Dynamical Systems and Complexity , Control, Robotics, Mechatronics , Computing Methodologies , Philosophy, general , Evolutionary Biology |
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Call number: | SPRINGER-2003-9783642189913:ONLINE Show nearby items on shelf |
Title: | Between Data Science and Applied Data Analysis Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002 |
Author(s): | |
Date: | 2003 |
Size: | 1 online resource (694 p.) |
Note: | 10.1007/978-3-642-18991-3 |
Contents: | Clustering and Discrimination -- Data Analysis and Statistics -- Data Mining, Information Processing, and Automation -- Finance, Marketing, and Management Science -- Biology, Archaeology, and Medicine |
ISBN: | 9783642189913 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Computer science , Data structures (Computer science) , Database management , Statistics , Computer Science , Database Management , Data Structures, Cryptology and Information Theory , Statistics for Business/Economics/Mathematical Finance/Insurance |
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Call number: | SPRINGER-2003-9781447100294:ONLINE Show nearby items on shelf |
Title: | MATLAB® for Engineers Explained |
Author(s): |
Fredrik Gustafsson |
Date: | 2003 |
Size: | 1 online resource (218 p.) |
Note: | 10.1007/978-1-4471-0029-4 |
Contents: | 1 Learning MATLAB -- 1 Introduction -- 2 Interactive computation and elementary functions -- 3 Manipulating matrices -- 4 Strings and workspace administration -- 5 Graphical illustrations -- 6 Matrix algebra and polynomials -- 7 |
Advanced graphics -- 8 MATLAB Scripts -- 9 MATLAB Functions -- 10 Functions of functions -- 2 Advanced Programming -- 11 Data Structures -- 12 Object Orientation -- 13 Graphical Object Orientation and User Interfaces -- 14 Optimizing | |
MATLAB Code -- 15 Calling C-routines from MATLAB -- 3 Applications of MATLAB -- 16 Calculus -- 17 Data interpolation -- 18 Linear Algebra -- 19 Optimization -- 20 Numerical Accuracy and Number Representation -- 21 Statistics -- 22 | |
Control Theory and the LTI Object -- 23 Dynamical Simulation with SIMULlNK -- 24 Ordinary Differential Equations -- 25 Signal processing -- 26 Communication Systems -- 27 Documentation, presentation and animation -- A Answers to the | |
exercises -- B Command reference -- C Summary of mathematical functions -- D Toolbox Summaries -- E Graphics summary | |
ISBN: | 9781447100294 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Computer-aided engineering , Computer software , Applied mathematics , Engineering mathematics , Electrical engineering , Mathematics , Mathematical Software , Appl.Mathematics/Computational Methods of Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electrical Engineering , Signal, Image and Speech Processing |
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Call number: | SPRINGER-2002-9783642559914:ONLINE Show nearby items on shelf |
Title: | Classification, Automation, and New Media Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000 |
Author(s): | |
Date: | 2002 |
Size: | 1 online resource (535 p.) |
Note: | 10.1007/978-3-642-55991-4 |
Contents: | 1: Data Analysis, Statistics, and Classification -- Clustering and Models -- Some New and Some Old Results for the Polytomous Rasch Model -- Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to |
Multivariate and Flexible Structural Models -- On the Optimal Number of Clusters in Histogram Clustering -- The Dual Dynamic Factor Analysis Models -- Joint Non-symmetrical Correspondence Analysis with Ordered Categories -- Regression | |
Analysis of Extremely Multicollinear Data -- Modern Data Analysis: A Clash of Paradigms -- Two-mode Clustering with Genetic Algorithms -- Exact Tests for the Comparison of Binary Data Structures in Time -- Connected Maximum Split | |
Clustering of Ladder Graphs -- A Generalization of Two-mode Three-way Asymmetric Multidimensional Scaling -- Central Limit Theorem for Probabilities of Correct Classification -- A New Model for the Analysis of Multitrait-multimethod | |
Data -- Discrete and Continuous Models for Two-way Data -- 2: Pattern Recognition and Automation -- Towards Feature Fusion — A Classifier on the Basis of Automatically Generated Significant Contour Sections -- Convex Discriminant | |
Analysis Tools for Non Convex Pattern Recognition -- Sparse Kernel Feature Analysis -- 3: Data Mining, Information Processing, and Automation -- Exploring Association Rules by Interactive Graphics -- Classification of Texts with | |
Support Vector Machines: An Examination of the Efficiency of Kernels and Data-transformations -- Text Mining with the Help of Cohesion Trees -- New Features of Categorical Principal Components Analysis for Complicated Data Sets, | |
Including Data Mining -- Supplement of Information: Data Integration by Classification of Pairs of Records -- The Completion of Missing Values by Neural Nets for Data Mining -- Knowledge Landscapes: Clustering Hypermedia Course Content | |
for Efficient Overviews -- Simplification of Knowledge Discovery using “Structure Classification” -- 4: New Media, Web Mining, and Automation -- Natural Language-based Specification and Fuzzy Logic for the Multimedia Development | |
Process -- A Tool System for an Object-oriented Approach to Construction and Maintenance of Hypermedia Documents -- Recommendations for Virtual Universities from Observed User Behavior -- Virtual Dialect Areas in the Internet: | |
“Townchats” -- The Navigation Problem in the World-Wide-Web -- Mining Web Usage Data for Automatic Site Personalization -- Integrating Combinatorial Relationships in a Cartography for Web Site Promotion -- 5: Applications in Management | |
Science, Finance, and Marketing -- Common Due Date Scheduling — Straddling Jobs and Due Windows — -- Currency Derivatives in German Non-financials: Empirical Evidence on Theoretical Approaches -- Data Visualization and Preparation by | |
Separating Sales Force Data -- Fuzzy Scenario Evaluation -- Fair Stock Risk Premiums under Firm-specific Price Jumps -- What Components Determine Stock Market Returns in the 1990’s? -- A Comparison of Estimators for Multivariate ARCH | |
Models -- Pricing of a New Integrated Risk Reinsurance Product -- A Multiple Method Approach for Discrimination and Classification in Marketing Research -- Goodness-of-Fit Measures for Two-mode Cluster Analyses -- On Volatility | |
Transfers During the Asia Crisis in 1997-1998 -- 6: Applications in Medicine, Biology, Archaeology, and Others -- QTL Mapping in Plant Populations -- Robust Multivariate Methods in Geostatistics -- Resampling Methods in Physical | |
Mapping -- Validating Dialect Comparison Methods -- Rater Classification on the Basis of Latent Features in Responding to Situations -- Results of Automatic Conversion of Diagnoses from ICD-9 to ICD-10 for Cancer Registration -- | |
Exploring Roman Brick and Tile by Cluster Analysis with Validation of Results -- Relief Intensity and the Formation of the Archaeological Record -- Spatio-Temporal Modeling of Cancer Mortality Rates -- The Classification of Critical | |
Periods for Melanoma Development due to UV-Radiation -- Classification in the Prescription of Medicaments -- Effects of Independent Non-differential Misclassification on the Attributable Risk -- A New Approach to Discriminant Analysis | |
with Longitudinal Data -- Author Index | |
ISBN: | 9783642559914 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Computer science , Information technology , Business , Data structures (Computer science) , Coding theory , Pattern recognition , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Coding and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Pattern Recognition |
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Call number: | SPRINGER-2002-9781468492446:ONLINE Show nearby items on shelf |
Title: | Fractals in Multimedia |
Author(s): | |
Date: | 2002 |
Size: | 1 online resource (270 p.) |
Note: | 10.1007/978-1-4684-9244-6 |
Contents: | to IMA fractal proceedings -- Uniqueness of invariant measures for place-dependent random iterations of functions -- Iterated function systems for lossless data compression -- From fractal image compression to fractal-based methods in |
mathematics -- Fractal image compression with fast local search -- Wavelets are piecewise fractal interpolation functions -- Self-affine vector measures and vector calculus on fractals -- Using the Picard contraction mapping to solve | |
inverse problems in ordinary differential equations -- Fractal modulation and other applications from a theory of the statistics of dimension -- Signal enhancement based on Hölder regularity analysis -- Iterated data mining techniques | |
on embedded vector modeling -- A web-based fractal geometry course for non-science students -- List of minisymposium participants | |
ISBN: | 9781468492446 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | The IMA Volumes in Mathematics and its Application: 132 |
Keywords: | Computer science , Computer science , Image processing , Application software , Dynamics , Ergodic theory , Probabilities , Topology , Computer Science , Image Processing and Computer Vision , Topology , Computer Applications , Probability Theory and Stochastic Processes , Dynamical Systems and Ergodic Theory , Math Applications in Computer Science |
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Call number: | SPRINGER-2002-9780306480805:ONLINE Show nearby items on shelf |
Title: | Information Handling in Astronomy - Historical Vistas |
Author(s): | |
Date: | 2002 |
Size: | 1 online resource (298 p.) |
Note: | 10.1007/0-306-48080-8 |
Contents: | Half a Century of Intense Maturation -- Evolution of Time Measurement in Astronomy -- Evolution of Data Processing in Optical Astronomy — A Personal Account -- IHAP: Image Handling and Processing System -- FITS: A Remarkable |
Achievement in Information Exchange -- The Munich Image Data Analysis System -- AIPS, the VLA, and the VLBA -- Changes in Astronomical Publications During the 20th Century -- The Evolution and Role of the Astronomical Library and | |
Librarian -- The Development of the Astronomy Digital Library -- From Early Directories to Current Yellow-Page Services -- Pre-College Astronomy Education in the United States in the Twentieth Century -- The Birth and Evolution of the | |
Planetarium -- The Changing Role of the IAU in Providing and Organizing Information -- Was the Carte du Ciel an Obstruction to the Development of Astrophysics in Europe? -- Amateur Data and Astronomical Discoveries in the 20th Century | |
ISBN: | 9780306480805 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Astrophysics and Space Science Library : 285 |
Keywords: | Statistics , Management information systems , Computer science , Education , Observations, Astronomical , Astronomy , Social sciences , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Management of Computing and Information Systems , Education, general , Social Sciences, general , Astronomy, Observations and Techniques |
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Call number: | SPRINGER-2001-9789401006866:ONLINE Show nearby items on shelf |
Title: | Science with Minisat 01 |
Author(s): | |
Date: | 2001 |
Size: | 1 online resource (347 p.) |
Note: | 10.1007/978-94-010-0686-6 |
Contents: | Opening Keynote -- Spanish Minisat Program. Objectives and Operational Results -- Minisat 01 as a Scientific Mission and its Future -- Development of Minisat 01 Scientific Payload -- Performances of Minisat-01 Platform Subsystems -- |
SIXE: An X-Ray Experiment for the Minisat Platform -- XRASE: The X-Ray Spectroscopic Explorer -- X-Ray Binary Systems: A Cauldron of Physical Processes -- Three Reflection Telescopes for Wide Field Space Astronomy. First Results from a | |
30 cm Prototype and Prospects -- The Science Operations Centre of Minisat-01 -- The Experiment CPLM (Comportamiento de Puentes Líquidos en Microgravedad) on Board Minisat 01 -- Stochastic Modeling of the Residual Acceleration Field in | |
a Microgravity Environment -- Numerical Studies of Fluid Flow in Microgravity Conditions for Confined Crystal Growth -- EURD: The Mission and the Stellar Absolute Fluxes of B-Type Stars -- Updated Parameters for the Decaying Neutrino | |
Theory and EURD Observations of the Diffuse UV Background -- EURD Data Provide Strong Evidence against the Sciama Model of Radiative Decay of Massive Neutrinos -- Modeling the Local Interstellar Medium -- EURD Observations of | |
Interstellar Radiation -- The Local Interstellar Medium in the Direction of the Galactic Anticentre -- Far-Ultraviolet Stellar Emission Measurements from UVSTAR -- Spectrum of the Extreme Ultraviolet Nightglow as Measured by EURD -- | |
Atmospheric Background Measurement in the 300–400 nm Band with a Balloon Borne Experiment during a Nocturnal Flight -- Pulsar Observations and Structure of the Local ISM -- EURD Data Processing -- LEGRI Operations, Detectors and | |
Detector Stability -- LEGRI Background. Short Term Variability -- Simulating the Background Noise in the LEGRI CZT Detectors -- Comparison between Theoretical Predictions and LEGRI Background Noise Experimental Measurements -- The CZT | |
X-Ray Imager on AXO -- The EM Algorithm for Imaging with Gaps in the Detector Plane -- LEGRI Instrument Health. A Historical Review -- LEGRI Science Operation Center. Architecture and Operations -- High Energy Astrophysics with | |
INTEGRAL -- Imaging with the IBIS Mask -- Gamma Ray Astronomy beyond 2001: What Instruments for the Next Challenges? -- Closing Remarks | |
ISBN: | 9789401006866 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Physics , Observations, Astronomical , Astronomy , Statistics , Automotive engineering , Physics , Astronomy, Observations and Techniques , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Automotive Engineering |
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Call number: | SPRINGER-2000-9783642597510:ONLINE Show nearby items on shelf |
Title: | Traffic and Granular Flow ’99 Social, Traffic, and Granular Dynamics |
Author(s): | |
Date: | 2000 |
Size: | 1 online resource (522 p.) |
Note: | 10.1007/978-3-642-59751-0 |
Contents: | Foreword -- Preface -- List of Participants -- Social Dynamics -- Recurrence in Physical and Social Systems -- Econophysics: What Can Physicists Contribute to Economics? -- Catastrophe Effects and Optimal Extensions of Transportation |
Flows in the Developing Urban System: A Review -- Evolutionary Models of Innovation Dynamics -- Universality of Group Decision Making -- Formation of Opinions under the Influence of Competing Agents -a Mean Field Approach -- Search for | |
Intelligence by Motion Analysis -) -- Anticipatory Traffic Forecast Using Multi-Agent Techniques -- Modal Split and Social Dilemmas -- Synthetising Brillouin Information-Thermodynamic Approach with the Social Synergetics Weidlich-Haag | |
Model -- Biology, Internet, Transport Theory -- Evolution of Molecular Phenotypes - A Physicist’s View of Darwin’s Principle -- Stochastic Resonance and Brownian Machinery: New Results -New Applications - New Goals -- Studies of | |
Bacterial Cooperative Organization -- Collective Motion and Optimal Self-Organisation in Self-Driven Systems -- Active Brownian Particles with Internal Energy Depot -- Associative Memory of a Pulse-Coupled Noisy Neural Network with | |
Delays: The Lighthouse Model -- Application of Neural Networks for Predictive and Control Purposes -- Optimizing Traffic in Virtual and Real Space -- Is Boltzmann’s Equation Physically Insufficient? -- Fractional Evolution Equations | |
and Irreversibility -- Dynamical Theory of Steady State Selection in Open Driven Diffusive Systems -- Application of a Deterministic Scheme for the Boltzmann Equation in Modelling Shock Wave Focusing -- Nonlinear Waves and Moving | |
Clusters on Rings -- Freezing by Heating in a Pedestrian Model -- Traffic Data and Applications -- Phase Transitions in Traffic Flow -- An Integrated Model of Transport and Urban Evolution (ITEM) -Traffic and City Development in | |
Emergent Nations -- Statistical Analysis of Freeway Traffic -- Nonlinear Control of Stop-and-Go Traffic -- Online Simulation and State Estimation for a Traffic Flow Model -- Traffic News by Dynamic Fuzzy Classification -- Evaluation of | |
Single Vehicle Data in Dependence of the Vehicle-Type, Lane, and Site -- Forecasting of Traffic Congestion -- Empirical Phase Diagram of Traffic Flow on Highways with On-Ramp -- On-Line Simulation of the Freeway Network of North | |
Rhine-Westphalia -- Traffic Data Collection Using Image Processing Technology -- Modelling of Traffic Flow -- Microscopic Simulation of Congested Traffic -- Order Parameter as an Additional State Variable of Unstable Traffic Flow -- | |
Macroscopic Simulation of Open Systems and Micro-Macro Link -- Relating Car-Following and Continuum Models of Road Traffic -- Microscopic Randomness in Foliow-the-Leader Dynamics -- “Car-SPH”: A Lagrangian Particle Scheme for the | |
Solution of the Macroscopic Traffic Flow Equations -- An Exactly Solvable Two-Way Traffic Model with Ordered Sequential Update -- Exact Traveling Cluster Solutions of Differential Equations with Delay for a Traffic Flow Model -- Stable | |
and Metastable States in Congested Traffic -- Detailed Microscopic Rules to Simulate Multilane Freeway Traffic -- CA Models for Traffic Flow: Comparison with Empirical Single-Vehicle Data -- A New Cellular Automata Model for City | |
Traffic -- Stochastic Boundary Conditions in the Nagel-Schreckenberg Traffic Model -- A Stochastic Multi-Cluster Model of Freeway Traffic -- Granular Dynamics -- Jamming Patterns and Blockade Statistics in Model Granular Flows -- | |
Kinetics of Granular Gases -- Particle Segregation in the Context of the Species Momentum Balances -- Avalanche Parameters: Dependence on the Size of the Granular Packing -- Ripple Formation in a Saltation-Avalanche Model -- Particle | |
Diffusion and Segregation in Rotating Cylinders -- Molecular Dynamics Simulation of Cohesive Granular Materials -- A Model for Slowly Moving Granular Matter -- Pressure Distribution of a Two-Dimensional Sandpile | |
ISBN: | 9783642597510 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Applied mathematics , Engineering mathematics , Condensed matter , Automotive engineering , Environmental sciences , Mathematics , Applications of Mathematics , Automotive Engineering , Math. Appl. in Environmental Science , Condensed Matter Physics |
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Call number: | SPRINGER-2000-9783642576782:ONLINE Show nearby items on shelf |
Title: | COMPSTAT Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000 |
Author(s): | |
Date: | 2000 |
Size: | 1 online resource (540 p.) |
Note: | 10.1007/978-3-642-57678-2 |
Contents: | Keynote papers -- The broad role of multiple imputation in statistical science -- Official Statistics: an estimation strategy for the IT-era -- Invited papers -- Bayesian model selection methods for nonnested models -- Spatio-temporal |
hierarchical modeling of an infectious disease from (simulated) count data -- GBMs: GLMs with bilinear terms -- Generalized calibration and application to weighting for non-response -- Methodological issues in data mining -- Practical | |
data mining in a large utility company -- HGLMs for analysis of correlated non-normal data -- Bootstrapping impulse responses in VAR analyses -- An application of TRAMO-SEATS model selection and out-of-sample performance. The Swiss CPI | |
series -- Spreadsheets as tools for statistical computing and statistics education -- An algorithm for deepest multiple regression -- Non-proportional hazards models in survival analysis -- A spatio-temporal analysis of a field trial | |
-- Contributed papers -- Principal component logistic regression -- Sieve bootstrap prediction intervals -- Clustering by maximizing a fuzzy classification maximum likelihood criterion -- Tree-based algorithms for missing data | |
imputation -- MiPy: a system for generating multiple imputations -- A linear approximation to the wild bootstrap in specification testing -- The size of the largest nonidentifiable outlier as a performance criterion for multivariate | |
outlier identification: the case of high-dimensional data -- The influence of data generation and imputation methods on the bias of factor analysis of rating scale data -- Model on a population and prediction on another one: a | |
generalized discriminant rule -- Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments -- An MLE strategy for combining optimally pruned decision trees -- Semi-parametric models for data | |
mining -- Preliminary estimation of ARFIMA models -- A collection of applets for visualizing statistical concepts -- Non-parametric regression and density estimation under control of modality -- Multivariate approaches for aggregate | |
time series -- Some space-time models: an application to NO2 pollution in an urban area -- SLICE: generalised software for statistical data editing and imputation -- Improved PCB inspection: computational issues -- Optimization of the | |
antithetic Gibbs sampler for Gaussian Markov random fields -- Computing zonoid trimmed regions of bivariate data sets -- Outlier resistant estimators for canonical correlation analysis -- Graphical and phase space models for univariate | |
time series -- The use of the Tweedie distribution in statistical modelling -- Predictive dimension: an alternative defmition to embedding dimension -- Post-stratification to correct for nonresponse: classification of ZIP code areas -- | |
Approximate Bayesian inference for simple mixtures -- Correlated INAR(1) process -- Confidence regions for stabilized multivariate tests -- Comparison of stationary time series using distribution-free methods -- Generation of Boolean | |
classification rules -- A statistical package based on Pnuts -- Generalized regression trees -- Generalized linear mixed models: an improved estimating procedure -- The stochastic dimension in a dynamic GIS -- A robust version of | |
principal factor analysis -- TESS: system for automatic seasonal adjustment and forecasting of time series -- The BADAME project -- Improving Statistics Canada’s cell suppression software (CONFID) -- The multimedia project MM*STAT for | |
teaching statistics -- Projection pursuit approach to robust canonical correlation analysis -- A fast algorithm for highly robust regression in data mining -- Optimal classification trees -- GAM spline algorithms: a direct comparison | |
-- Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models -- Robust Bayesian classification -- Social science measurement by means of item response models -- Multivariate DLMs for forecasting | |
financial time series, with application to the management of portfolios -- An algorithm for the multivariate Tukey median -- Analyzing and synthesizing information from a multiple-study database -- Bootstrapping neural discriminant | |
model -- An improved algorithm for robust PCA -- Applying techniques of dynamic programming to sequential mastery testing -- The introduction of formal structure into the processing of statistical summary data -- Validation of | |
association rules by interactive mosaic plots -- Optimality models for PRAM -- Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations -- Testing for differences in location: a | |
comparison of bootstrap methods in the small sample case -- Two principal points for location mixtures -- Vector splines and other vector smoothers -- Index of authors -- Index of keywords | |
ISBN: | 9783642576782 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Information technology , Business , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics and Computing/Statistics Programs , IT in Business |
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Call number: | SPRINGER-2000-9783642572807:ONLINE Show nearby items on shelf |
Title: | Classification and Information Processing at the Turn of the Millennium Proceedings of the 23rd Annual Conference of the Gesellschaft für Klassifikation e.V., University of Bielefeld, March 10–12, 1999 |
Author(s): | |
Date: | 2000 |
Size: | 1 online resource (492 p.) |
Note: | 10.1007/978-3-642-57280-7 |
Contents: | 1: Data Analysis and Classification -- New Developments in Latent Variable Models -- Regression-Type Models for Kohonen’s Self-Organizing Networks -- Relational Data Analysis, Discrimination and Classification -- Data Types and |
Information: Beyond the Current Practice of Data Analysis -- Two-Mode Three-Way Asymmetric Multidimensional Scaling with Constraints on Asymmetry -- Regularized Discriminant Analysis with Optimally Scaled Data -- Recurrence Properties | |
in Two-Mode Hierarchical Clustering -- On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia -- On the Modal Understanding of Triadic Contexts -- Clustering and Scaling: Grouping Variables in Burt Matrices -- | |
Standardisation of Data Set under Different Measurement Scales -- Neural Networks for Two-Group Classification Problems with Monotonicity Hints -- A Bridge from the Nearest Neighbour to the Fixed Bandwidth in Nonparametric Functional | |
Estimation -- Clustering Techniques for the Detection of Business Cycles -- Simulated Annealing Optimization for Two-mode Partitioning -- 2: Computer Science, Computational Statistics, and Data Mining -- Competitiveness of Evolutionary | |
Algorithms -- Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach -- Algorithm Selection Support for Classification -- Society of Knowledge — Interdisciplinary Perspectives of Information Processing in | |
Virtual Networks -- What is Computational Statistics? -- A Development Framework for Nature Analogic Heuristics -- Systematizing and Evaluating Data Mining Methods -- On Textures: A Sketch of a Texture-Based Image Segmentation Approach | |
-- Automatic Texture Classification by Visual Properties -- Java Servlets versus CGI — Implications for Remote Data Analysis -- Generating Automatically Local Feature Groups of Complex and Deformed Objects -- Decision Tree Construction | |
by Association Rules -- Learning Complex Similarity Measures -- Graphical Programming in Statistics: The XGPL Prototype -- 3: Management Science, Marketing, and Finance -- Measuring Brand Loyalty on the Individual Level: a Comparative | |
Study -- Facility Location Planning with Qualitative Location Factors -- Testing the Multinomial Logit Model -- Time Optimal Portfolio Selection: Mean-variance-efficient Sets for Arithmetic and Geometric Brownian Price Processes -- | |
Analyzing Multigroup Data with Structural Equation Models -- Validity of Customized and Adaptive Hybrid Conjoint Analysis -- Analysis of the Assessments of One’s Values Among Different Cohorts in Age and Sex by Multidimensional Scaling | |
-- Impacts of Hedging with Futures on Optimal Production Levels -- How to Integrate Stock Price Jumps into Portfolio Selection -- A Multivariate GARCH-M Model for Exchange Rates in the US, Germany and Japan -- A Model for Constructing | |
Quadratic Objective Functions and its Applications to Price Adjustments -- 4: Biology, Genome Analysis, and Medicine -- Phylogeny Inference by Minimum Conflict -- Detecting Change-Points in Aircraft Noise Effects -- A Generalized | |
Estimating Equations Approach to Quantifying the Influence of Meteorological Conditions on Hand Dermatitis -- Discrimination in Paired Data Situations -- Classification of Multidimensional Visual Field Data for Glaucoma Diagnosis -- | |
Quality of Life of Cancer Patients: A Multi-set Analysis -- A New Approach on Nonparametric Repeated Measures Analysis of Variance -- 5: Text Analysis and Information Retrieval -- GERHARD (German Harvest Automated Retrieval and | |
Directory) -- Automatic Labelling of References for Internet Information Systems -- Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries -- Computer Aided Evaluations of Linguistic Atlases: Prom Automatic | |
Classification to Dialectometry -- Structured Phrases for Indexing and Retrieval of Research Topics -- Author and Subject Index | |
ISBN: | 9783642572807 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Computer science , Information technology , Business , Data structures (Computer science) , Probabilities , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes |
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