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SPIRES-BOOKS: FIND KEYWORD STATISTICS,GENERAL *END*INIT* use /tmp/qspiwww.webspi1/7012.405 QRY 131.225.70.96 . find keyword statistics,general ( in books using www Cover
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Call number:9783319509303:ONLINE Show nearby items on shelf
Title:Random Walks in the Quarter Plane Algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics
Author(s): Guy Fayolle
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XVII, 248 p. 17 illus p.)
Contents:Introduction and History -- I The General Theory. - Probabilistic Background. - Foundations of the Analytic Approach. - The Case of a Finite Group -- II Applications to Queueing Systems and Analytic Combinatorics -- A Two-Coupled
Processor Model. - References
ISBN:9783319509303
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Mathematics , Mathematical statistics , Difference equations , Functional equations , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Probability and Statistics in Computer Science , Difference and Functional Equations
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Call number:9783319477053:ONLINE Show nearby items on shelf
Title:Econophysics and Sociophysics: Recent Progress and Future Directions
Author(s):
Date:2017
Size:1 online resource (VIII, 256 p. 85 illus., 77 illus. in color p.)
Contents:Anindya S. Chakrabarti, Topology of the international trade network: size, asymmetry and volatility -- Attilio Stella, Optimal growth in the network of global economy -- Bikas K. Chakrabarti, Inequality in Societies, Academic
Institutions & Science Journals: Gini & k-indices -- Damien Challet, Market nanostructure insight into market stylized facts -- Deepak Dhar, Dynamical networks of agents with degree preference -- Diego Garlaschelli, Network
reconstruction, systemic risk, and early-warning signals -- Dipankar Gupta, Boundaries, Transgressions and Disciplinary Dynamics -- Emanuele Pugliese, New Metrics for Economic Complexity -- Fabrizio Lillo, Complex network methods for
systemic risk assessment -- Frédéric Abergel, Imperfections of financial markets: a limit order book perspective -- Harbir Lamba, Modelling momentum traders in a financial market using Prandtl-Ishlinskii operators -- Hideaki Aoyama,
Deflation and Money -- Irena Vodenska, Bi-partite network approach to predictability of financial markets and news sentiments -- János Kertész, Kinetics of Social Contagion -- Joshin Murai, A model of order signs under multiple order
splitting and public information -- Karmeshu, Stochastic Modelling of High Frequency Intra-day Stock Returns: Emergence of Cubic Power-Law -- Kimmo Kaski, Social Physics: Studies of in vivo / in situ human sociality -- Kousik
Guhathakurta, Comparing the complexity of emerging and developed stock markets using recurrence network analysis -- M.S. Santhanam, Records statistics and financial time series -- Marco Patriarca, The microscopic origin of the Pareto
law and other power-law distributions -- Matteo Marsili, Complexity driven collapse of economic equilibria -- Michele Caraglio, Bridging intraday and interday market behavior through scaling -- Parongama Sen, Segregation dynamics with
continuously varying utility factor -- Sandeep Juneja, Nearest neighbor based and other popular methods for pricing Bermudan options -- Sitabhra Sinha, Loss of structural balance in the network of cross-correlations characterizing a
financial market signals the onset of major economic crisis -- Stanislao Gualdi, A dynamic model of input-output production networks: general equilibrium stability and emergence of scale-free structures -- Taisei Kaizoji, Why does the
power law for share price hold? -- Takaaki Ohnishi, Real estate valuation using k-nearest neighbor regression -- Takayuki Mizuno, Statistically detecting stock bubbles before they burst -- Victor Yakovenko, Economic inequality from
statistical physics point of view -- Yoshi Fujiwara, Quantifying Financial Distress in a Nation-wide Production Network -- Yoshiyuki Arata, Macroeconomic Consequences of Lumpy Investment under Uncertainty -- Youngna Choi, Tracking
Financial Instability Contagion: modeling and data calibration -- Yuichi Ikeda, Community and Controllability of Global Production Network: Focusing on the Economic Crisis of 2008
ISBN:9783319477053
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Statistics , Physics , Data-driven Science, Modeling and Theory Building , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Applications of Graph Theory and Complex Networks
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Call number:9781449307264:ONLINE Show nearby items on shelf
Title:R cookbook [electronic resource]
Author(s): Paul Teetor
Date:2011
Edition:1st ed.
Publisher:Sebastopol, CA : O'Reilly
Size:413 p
Note:eBook
Note:EPL platform
Contents:Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General S tatistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis.
ISBN:9781449307264
Keywords: R (Computer program language) , Mathematical statistics
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Call number:T11.S386::2014 Show nearby items on shelf
Title:Scientific style and format The CSE manual for authors, editors, and publishers.
Author(s): Council of Science Editors
Date:2014
Publisher:University of Chicago Press
Contents:Publishing fundamentals -- Elements of a scientific publication -- Publication policies and practices -- The basics of copyright -- General style conventions -- Alphabets, symbols, and signs -- Punctuation and related marks -- Spelling, word formation and division, plurals, and possessives -- Prose style and word choice -- Names and personal designations -- Capitalization -- Type styles, excerpts, quotations, and ellipses -- Abbreviations -- Numbers, units, mathematical expressions, and statistics -- Time, dates, and age measurements -- Geographic designations -- Special scientific conventions -- The electromagnetic spectrum -- Subatomic particles, chemical elements, and related notations -- Chemical formulas and names -- Chemical kinetics and thermod ynamics -- Analytical chemistry -- Drugs and pharmacokinetics -- Genes, chromosomes, and related molecules -- Taxonomy and nomenclature -- Structure and function -- Disease names -- The earth -- Astronomical objects and time systems -- Technical elements of publications -- Journal style and format -- Published media -- References -- Accessories to text: tables, figures, and indexes -- Typography and manuscript preparation -- Proof correction
ISBN:9780226116495
Corp. Author:Council of Science Editors
Keywords: Technical writing Handbooks, manuals, etc.
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Call number:SPRINGER-2016-9783319327747:ONLINE Show nearby items on shelf
Title:Estimation and Testing Under Sparsity École d'Été de Probabilités de Saint-Flour XLV – 2015
Author(s): Sara van de Geer
Date:2016
Size:1 online resource (274 p.)
Note:10.1007/978-3-319-32774-7
Contents:1 Introduction -- The Lasso -- 3 The square-root Lasso -- 4 The bias of the Lasso and worst possible sub-directions -- 5 Confidence intervals using the Lasso -- 6 Structured sparsity -- 7 General loss with norm-penalty -- 8 Empirical process theory for dual norms -- 9 Probability inequalities for matrices -- 10 Inequalities for the centred empirical risk and its derivative -- 11 The margin condition -- 12 Some worked-out examples -- 13 Brouwer’s fixed point theorem and sparsity -- 14 Asymptotical ly linear estimators of the precision matrix -- 15 Lower bounds for sparse quadratic forms -- 16 Symmetrization, contraction and concentration -- 17 Chaining including concentration -- 18 Metric structure of convex hulls
ISBN:9783319327747
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Mathematics: 2159
Keywords: Mathematics , Mathematical statistics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Probability and Statistics in Computer Science
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Call number:SPRINGER-2016-9783319246062:ONLINE Show nearby items on shelf
Title:Reviews in Plasmonics 2015
Author(s):
Date:2016
Size:1 online resource (175 p.)
Note:10.1007/978-3-319-24606-2
Contents:Preface.- Surface Plasmon Polariton Assisted Optical Switching in Noble Metal Nanoparticle Systems: A Sub-Band Gap Approach, Sandip Dhara.- Modeling and interpretation of hybridization in coupled plasmonic systems, Saïd Bakhti et al.-
Radiolytically synthesized noble metal nanoparticles: Sensor applications, Nilanjal Misra et al.- Construction, Modeling, and Analysis of Transformation-Based Metamaterial Invisibility Cloaks, Branislav M. Notaroš et al.- Interaction
of Surface Plasmon Polaritons with Nanomaterials, Gagan Kumar and Prashant K Sarswat.- Ultrafast Response of Plasmonic Nanostructures, Sunil Kumar and A. K. Sood.- Graphene-based ultra-broadband slow-light system and plamonic
whispering-gallery-mode nanoresonators, Weibin Qiu.- Fano resonance in plasmonic optical antennas, Siamak Dawazdah emami et al.- Elongated nanostructured solar cells with a plasmonic core, Marcel Di Vece.- Controlled Assembly of
Plasmonic Nanostructures Templated by Porous Anodic Alumina Membranes, Xingce Fan, Qi Hao and Teng Qiu.- Origin of Shifts in the Surface Plasmon Resonance Frequencies for Au and Ag Nanoparticles, Sandip Dhara.- Quantum Plasmonics: From
Quantum Statistics to Quantum Interferences, Giuliana Di Martino.- Lasers and Plasmonics: SPR measurements of metal thin films, clusters and bio-layers, Saif Ur Rehman, Muhammad Saleem, and Ahmad Shuaib.- Plasmon assisted luminescence
in rare earth doped glasses, M. Reza Dousti, Raja J. Amjad -- Surface enhanced fluorescence by plasmonic nanostructures, Jun Dong , Hairong Zheng, Zhenglong Zhang, Wei Gao, Jihong Liu, Enjie He -- Remote spectroscopy below the
diffraction limit, James A. Hutchison, Hiroshi Uji-i.- Index
ISBN:9783319246062
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Reviews in Plasmonics : 2015
Keywords: Medicine , Spectroscopy , Nanoscale science , Nanoscience , Nanostructures , Surfaces (Physics) , Interfaces (Physical sciences) , Thin films , Nanotechnology , Metals , Biomedicine , Biomedicine general , Nanotechnology , Spectroscopy/Spectrometry , Nanoscale Science and Technology , Surface and Interface Science, Thin Films , Metallic Materials
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Call number:SPRINGER-2016-9783319235585:ONLINE Show nearby items on shelf
Title:Nonclinical Statistics for Pharmaceutical and Biotechnology Industries
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (113 p.)
Note:10.1007/978-3-319-23558-5
Contents:Introduction to Nonclinical Statistics for Pharmaceutical and Biotechnology Industries -- Regulatory Nonclinical Statistics -- How to be a good nonclinical statistician -- Statistical Methods for Drug Discovery -- High-throughput Screening Data Anal ysis -- Quantitative-Structure Activity Relationship Modeling and Cheminformatics -- GWAS for Drug Discovery -- Statistical applications in Design and Analysis of In-Vitro Safety Screening Assays -- Nonclinical safety assessment: an introduction for stati sticians -- General Toxicology, Safety Pharmacology, Reproductive Toxicology and Juvenile Toxicology Studies -- Clinical Assays for Biological Macromolecules -- Recent Research Projects by FDA's Pharmacology and Toxicology Statistics Team -- Design and ev aluation of drug combination studies -- Biomarkers -- Overview of Drug Development and Statistical Tools for Manufacturing and Testing -- Assay Validation -- Lifecycle Approach to Bioassay -- Quality by Design: Building Quality into
Products and Processes -- Process Validation -- Acceptance Sampling -- Process Capability and Statistical Process Control -- Statistical Considerations for Stability and the Estimation of Shelf Life.- In Vitro Dissolution Testing: Statistical Approa ches and Issues -- Assessing Content Uniformity -- Chemometrics and Predictive Modelling -- Statistical Methods for Comparability Studies
ISBN:9783319235585
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Pharmacology , Medicine , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Medicine/Public Health, general , Pharmacology/Toxicology
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Call number:SPRINGER-2016-9783319161396:ONLINE Show nearby items on shelf
Title:Forging Connections between Computational Mathematics and Computational Geometry Papers from the 3rd International Conference on Computational Mathematics and Computational Geometry
Author(s):
Date:2016
Size:1 online resource (30 p.)
Note:10.1007/978-3-319-16139-6
Contents:Numerical Analysis of Reacting Flow in a Carbon Monoxide Boiler -- Some Efficient Schemes for Two-stage Gauss Method Ratnam Vigneswaran -- Effect of External Acceleration on the Flow Resistance in a Stenosed Catheterized Artery -- Matrix Induced by Change of Variables in a System of Polynomial Equations -- Varying Iteration Accuracy Using Inexact Conjugate Gradients in Control Problems Governed by Partial Differential Equations -- Dynamics of Hepatitis C Virus with Saturation Incidence Rate -- Some Groups with the Rapid Decay Property -- Köthe – Toeplitz Duals and Matrix Transformations of the Sequence Space bv(p) -- Quasi Class Q Operator -- Common Fixed Points of Two Finite Families of Quasicontractive Type Operators in Normed Spaces -- Simulta neous Test Procedures in Terms of p-value Copulae -- Determining the Long-run Equilibrium Price by the Mean Reversion Process and the Cobweb Model -- Application of Maximal Segmental Score in Genome-wide Association Studies When Raw Data is
Unavailable -- Comparison of the Generalized Least Squares F-Test for the Nested Error Regression Model -- Review of Asset Return Distribution and Its Application -- Sampling Moments of Resamples -- Designing Chain Sampling Plan (ChSP-1) under Lot Q uality Protection -- Minimum ATI ChSP – 4 (c1, c2) Plans -- On Compromise Mixed Allocation in Multivariate Stratified Sampling with Random Parameters -- Graphics Lipschitz-Killing Curvatures of the Excursion Sets of Skew Student-t Random Fields -- Optim ization of Power Transmission in Clustering Stochastic Networks As a Queuing System -- On the Total Closed Edge-Neighbourhood Graph of a Graph -- Combinatorial Cosmology? Time’s Arrow from a Graph Theorist’s Point of View
ISBN:9783319161396
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 124
Keywords: Statistics , Computer mathematics , Statistics , Statistical Theory and Methods , Statistics, general , Computational Mathematics and Numerical Analysis
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Call number:SPRINGER-2014-9788132217862:ONLINE Show nearby items on shelf
Title:Optimal Mixture Experiments [electronic resource]
Author(s): B.K Sinha
N.K Mandal
Manisha Pal
P Das
Date:2014
Publisher:New Delhi : Springer India : Imprint: Springer
Size:1 online resource
Note:The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuousdesigns, de la Garza p henomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadraticregression models. This is followed by a review of t he available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimummixing proportions in different mixture models, which include Scheffs qua dratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designsand mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of designand analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understan ding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area ofmixture experiments
Contents:Chapter 1. Mixture Models and Mixture Designs: Scope of the Monograph
Chapter 2. Optimal Regression Designs
Chapter 3. Parameter Estimation in Linear and Quadratic Mixture Models
Chapter 4. Optimal Mixture Designs for Estimation of Natural Parameters in Scheffs Model
Chapter 5. Optimal Mixture Designs for Estimation of Natural Parameters in Scheffs Model under Constrained Factor Space
Chapter 6. Optimal Mixture Designs for Estimation of Natural Parameters in Other Mixture Models
Chapter 7. Optimal Designs for Estimation of Optimum Mixture in Scheffs Quadratic M
ISBN:9788132217862
Series:eBooks
Series:SpringerLink
Series:Lecture Notes in Statistics, 0930-0325 : v1028
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical optimization , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2014-9783642398353:ONLINE Show nearby items on shelf
Title:Astronomical Measurement [electronic resource] : A Concise Guide
Author(s): Andy Lawrence
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book on astronomical measurement takes afresh approach to teaching the subject. After discussing some general principles, it follows the chain of measurement through atmosphere, imaging, detection, spectroscopy, timing, andhypothesis testing. Th e various wavelength regimes are covered in each section, emphasising what is the same, and what is different. The author concentrates on the physics of detection and the principles of measurement, aiming to makethis logically coherent. The book is based on a short self contained lecture course for advanced undergraduate students developed and taught by the author over several years
Contents:Preface
Acknowledgements
Signal, Distortion, and Noise
The atmosphere and how to avoid it
Mapping the Sky
Detection of Light
Spectroscopy
Overview of Statistics
Basic orbital mechanics
References
Glossary
Solutions
Index
ISBN:9783642398353
Series:eBooks
Series:SpringerLink
Series:Springer Praxis Books
Series:Physics and Astronomy (Springer-11651)
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Call number:SPRINGER-2014-9783642376320:ONLINE Show nearby items on shelf
Title:Fluctuations of Lvy Processes with Applications [electronic resource] : Introductory Lectures
Author(s): Andreas E Kyprianou
Date:2014
Edition:2nd ed. 2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Lvy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around which a robust mathematical theory exists. Their application appears in the theory of many areas ofclassical and modern stocha stic processes including storage models, renewal processes, insurance risk models, optimal stopping problems, mathematical finance, continuous-state branching processes and positive self-similar Markovprocesses. This textbook is based on a series of gradu ate courses concerning the theory and application of Lvy processes from the perspective of their path fluctuations. Central to the presentation is the decomposition of paths interms of excursions from the running maximum as well as an understanding of sho rt- and long-term behaviour. The book aims to be mathematically rigorous while still providing an intuitive feel for underlying principles. The results andapplications often focus on the case of Lvy processes with jumps in only one direction, for which re cent theoretical advances have yielded a higher degree of mathematical tractability. The second edition additionally addresses recentdevelopments in the potential analysis of subordinators, Wiener-Hopf theory, the theory of scale functions and their appli cation to ruin theory, as well as including an extensive overview of the classical and modern theory of positiveself-similar Markov processes. Each chapter has a comprehensive set of exercises. Andreas Kyprianou has a degree in Mathematics from the Univer sity of Oxford and a Ph.D. in Probability Theory from The University of Sheffield. He iscurrently a Professor of Probability at the University of Bath, having held academic positions in Mathematics and Statistics Departments at the London School of Econom ics, Edinburgh University, Utrecht University and Heriot-WattUniversity, besides working for nearly two years as a research mathematician in the oil industry. His research is focused on pure and a
Contents:Lvy Processes and Applications
The LvyIt Decomposition and Path Structure
More Distributional and Path
Related Properties
General Storage Models and Paths of Bounded Variation
Subordinators at First Passage and Renewal Measures
The WienerHopf Factorisation
Lvy Processes at First Passage
Exit Problems for Spectrally Negative Processes
More on Scale Functions
Ruin Problems and Gerber
Shiu Theory
Applications to Optimal Stopping Problems
Continuous
State Branching Processes
Positive Self
similar Markov Processes
Epilogue
Hints for Exercises
ISBN:9783642376320
Series:eBooks
Series:SpringerLink
Series:Universitext, 0172-5939
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783642195983:ONLINE Show nearby items on shelf
Title:Basic Concepts in Physics [electronic resource] : From the Cosmos to Quarks
Author(s): Masud Chaichian
Hugo Perez Rojas
Anca Tureanu
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Basic Concepts in Physics: From the Cosmos to Quarks is the outcome of the authors' long and varied teaching experience in different countries and for different audiences, and gives an accessible and eminently readableintroduction to all the main ide as of modern physics. The books fresh approach, using a novel combination of historical and conceptual viewpoints, makes it ideal complementary reading to more standard textbooks. The first fivechapters are devoted to classical physics, from planetary mot ion to special relativity, always keeping in mind its relevance to questions of contemporary interest. The next six chapters deal mainly with newer developments in physics,from quantum theory and general relativity to grand unified theories, and the book concludes by discussing the role of physics in living systems. A basic grounding in mathematics is required of the reader, but technicalities areavoided as far as possible thus complex calculations are omitted so long as the essential ideas remain clear. The book is addressed to undergraduate and graduate students in physics and will also be appreciated by many professionalphysicists. It will likewise beof interest to students, researchers and teachers of other natural sciences, as well as to engineers, h igh-school teachers and the curious general reader, who will come to understand what physics isabout and how it describes the different phenomena of Nature. Not only will readers of this book learn much about physics, they will also learn to love it.
Contents:Gravitation and Newton Laws
Entropy, Statistical Physics and Information
Electromagnetism and Maxwell Equations
Electromagnetic Waves
The Special Theory of Relativity
The Atom and Quantum Theory
Quantum Electrodynamics
Fermi
Dirac and Bose
Einstein Statistics
The Four Fundamental Forces
General Relativity and Cosmology
Unification of the Forces of Nature
Physics and Life
Index
ISBN:9783642195983
Series:eBooks
Series:SpringerLink
Series:Undergraduate Lecture Notes in Physics, 2192-4791
Series:Physics and Astronomy (Springer-11651)
Keywords: Biochemistry
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Call number:SPRINGER-2014-9783319095318:ONLINE Show nearby items on shelf
Title:Translational Recurrences [electronic resource] : From Mathematical Theory to Real-World Applications
Author(s): Norbert Marwan
Michael Riley
Alessandro Giuliani
Jr. Webber Charles L
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantifi cationanalysis (RQA) with s pecial emphasis on biological and cognitive systems and the analysis of coupled systems using cross-recurrence methods. Readers will discover new applications and insights into a range of systems provided byrecurrence plot analysis and new theoretical and mathematical developments in recurrence plots. Recurrence plot based analysis is a powerful tool that operates on real-world complex systems that are nonlinear, non-stationary, noisy, ofany statistical distribution, free of any particular model type, and not particularly long. Quantitative analyses promote the detection of system state changes, synchronized dynamical regimes, or classifi cation of system states. Th ebook will be of interest to an interdisciplinary audience of recurrence plot users and re searchers interested in time series analysis of complex systems in general
Contents:1 A Recurrence Plot
based Distance Measure: S. Spiegel et al
2 Fast computation of recurrences in long time series: T. Rawald et al
3 Unthresholded recurrence plots for complex
valued representations of narrow band signals: A. Sipers et al
4 Quantifying redundancy and information content of lines in recurrence plots using the theory of framework rigidity: A. Sipers et al
5 Recent advances in non
stationary signal processing based on Recurrence Plot Analysis concept: C. Ioana et al
6 A Recurrence
Based Approach for Feature Extraction in Brain
Computer Interface Systems: L.F.S
ISBN:9783319095318
Series:eBooks
Series:SpringerLink
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v103
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Visualization , Mathematical statistics
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Call number:SPRINGER-2014-9783319078427:ONLINE Show nearby items on shelf
Title:Probability on Compact Lie Groups [electronic resource]
Author(s): David Applebaum
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Probability theory on compact Lie groups deals with the interaction between chance and symmetry, a beautiful area of mathematics of great interest in its own sake but which is now also finding increasing applicationsin statistics and engineering (par ticularly with respect to signal processing). The author gives a comprehensive introduction to some of the principle areas of study, with an emphasis on applicability. The most important topicspresented are: the study of measures via the non-commutative F ourier transform, existence and regularity of densities, properties of random walks and convolution semigroups of measures, and the statistical problem of deconvolution. Theemphasis on compact (rather than general) Lie groups helps readers to get acquaint ed with what is widely seen as a difficult field but which is also justified by the wealth of interesting results at this level and the importance ofthese groups for applications. The book is primarily aimed at researchers working in probability, stochast ic analysis and harmonic analysis on groups. It will also be of interest to mathematicians working in Lie theory and physicists,statisticians and engineers who are working on related applications. A background in first year graduate level measure theoreti c probability and functional analysis is essential a background in Lie groups and representation theory iscertainly helpful but the first two chapters also offer orientation in these subjects
Contents:Introduction
1.Lie Groups
2.Representations, Peter
Weyl Theory and Weights
3.Analysis on Compact Lie Groups
4.Probability Measures on Compact Lie Groups
5.Convolution Semigroups of Measures
6.Deconvolution Density Estimation
Appendices
Index
Bibliography
ISBN:9783319078427
Series:eBooks
Series:SpringerLink
Series:Probability Theory and Stochastic Modelling, 2199-3130 : v70
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Topological Groups , Harmonic analysis , Fourier analysis , Functional analysis , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319068749:ONLINE Show nearby items on shelf
Title:Geomathematics: Theoretical Foundations, Applications and Future Developments [electronic resource]
Author(s): Frits Agterberg
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a wealth of geomathematical case history studies performed by the author during his career at the Ministry of Natural Resources Canada, Geological Survey of Canada (NRCan-GSC). Several of the techniques newlydeveloped by the author and colleagues that are described in this book have become widely adopted, not only for further research by geomathematical colleagues, but by government organizations and industry worldwide. These includeWeights-of-Evidence modelling, mineral resource e stimation technology, trend surface analysis, automatic stratigraphic correlation and nonlinear geochemical exploration methods. The author has developed maximum likelihood methodologyand spline-fitting techniques for the construction of the international numerical geologic timescale. He has introduced the application of new theory of fractals and multifractals in the geostatistical evaluation of regional mineralresources and ore reserves and to study the spatial distribution of metals in rocks. The book also contains sections deemed important by the author but that have not been widely adopted because they require further research. Theseinclude the geometry of preferred orientations of contours and edge effects on maps, time series analysis of Quaternary retreating ice sheet related sedimentary data, estimation of first and last appearances of fossil taxa fromfrequency distributions of their observed first and last occurrences, tectonic reactivation along pre-existing schistosity planes in fold belts, us e of the grouped jackknife method for bias reduction in geometrical extrapolations, andnew applications of the theory of permanent, volume-independent frequency distributions
Contents:Foreword
Preface
1. Complexity of the Geological Framework and Use of Mathematics
2. Probability and Statistics
3.Maximum Likelihood, Lognormality and Compound Distributions
4.Correlation, Method of Least Squares, Linear Regression and the General Linear Model
5.Prediction of Occurrence of Discrete Events
6. Autocorrelation and Geostatistics
7.2D and 3D Trend Analysis
8.Statistical Analysis of Directional Features
9. Automated Stratigraphic Correlation, Splining and Geological Timescales
10. Fractals
11. Multifractals and Singularity Analysis
12
ISBN:9783319068749
Series:eBooks
Series:SpringerLink
Series:Quantitative Geology and Geostatistics, 0924-1973 : v18
Series:Mathematics and Statistics (Springer-11649)
Keywords: Geography , Geochemistry , GeologyxMathematics , Geology, Structural , Mines and mineral resources , Paleontology
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Call number:SPRINGER-2014-9783319066325:ONLINE Show nearby items on shelf
Title:General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions [electronic resource]
Author(s): Qi L
Xu Zhang
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in thedeterministic infinite dimensi onal setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic (infinite dimensional) evolution equations when the diffusionterm contains the control variables and the control domains are allowed to be non-convex. Indeed, it is one of the longstanding unsolved problems in stochastic control theory to establish the Pontryagintype maximum principle for thiskind of general control systems: this book aims to give a solution to thi s problem. This bookwill beuseful for both beginners and experts who are interested in optimal control theory for stochastic evolution equations
ISBN:9783319066325
Series:eBooks
Series:SpringerLink
Series:SpringerBriefs in Mathematics, 2191-8198
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Systems theory , Mathematical optimization , Distribution (Probability theory) , Statistics
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Call number:SPRINGER-2014-9783319028309:ONLINE Show nearby items on shelf
Title:Excel 2010 for Engineering Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solvepractical engineering problems. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely availablecomputer program for students and managers, is also an effecti ve teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics mucheasier than in years past. However, Excel 2010 for Engineering Statistics: A Guide to S olving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel tostatistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the r eader to use Excelcommands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in anAppendix) th at allows readers to test what they have learned. Includes 159 Illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic career, Prof. Quirk spent six years ineducational research at The American Instit utes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College,and is currently a Professor of Marketing in the George Herbert Wal ker School of Business & Technology at Webster University based in St. Louis, Missour
Contents:Introduction
Sample size, mean, standard deviation, standard error of the mean
Random number generator
Confidence interval about the mean using the TINV function and hypothesis testing
One
group t
test for the mean
Two
group t
test of the difference of the means for independent groups
Correlation and simple linear regression
Multiple correlation and multiple regression
One
way analysis of variance (ANOVA)
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E
Index
ISBN:9783319028309
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2014-9783319024028:ONLINE Show nearby items on shelf
Title:Foundations of Applied Statistical Methods [electronic resource]
Author(s): Hang Lee
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of appliedstatistics. The reader b oth builds on basic statistics skills and learns to apply them to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematicalexpressions are exhibited only if they are defined or intuitively comprehensible. This textmay be used as a self review guidebook for applied researchers or as an introductory statistical methods textbook for students not majoring instatistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination. The authorhas over twentyyears of experienceapplying statistical methods tostudy design and data analysisin collaborative me dical research setting as well as on teaching.He received hisPhDfrom the Department of Preventive Medicine at the Universityof Southern California andpost-doctoral training at Harvard Department of Biostatistics. Hang Leehas held faculty appointments at t he UCLASchool of Medicine and Harvard Medical School. He is currently a biostatisticsfacultymember at Massachusetts General Hospital and Harvard Medical Schoolin Boston, Massachusetts, USA.
Contents:Warming Up
Descriptive Statistics and Essential Probability Models
Statistical Inference Focusing on a Single Mean or Proportion
Inference Using t
tests for Comparing Two Means
Inference Using Analysis of Variance for Comparing Multiple Means
Inference Using Correlation and Regression
Normal Distribution Assumption Free Non
Parametric Inference
Methods for Censored Survival Time Data Analysis and Inference
Sample Size Determination for Inference
Review Exercise Problems
Probability of Standard Normal Distribution
Percentiles of t
Distributions
Upper 95th and 99
ISBN:9783319024028
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2014-9783319015958:ONLINE Show nearby items on shelf
Title:Data Analysis, Machine Learning and Knowledge Discovery [electronic resource]
Author(s): Myra Spiliopoulou
Lars Schmidt-Thieme
Ruth Janning
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be appliedto a vast set of app lications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning andknowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012
Contents:AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
AREA Data Analysis in Finance
AREA Data Analysis in Biostatistics and Bioinformatics
AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology
LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science
ISBN:9783319015958
Series:eBooks
Series:SpringerLink
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Statistical methods , Mathematical statistics , Marketing , Philosophy (General)
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Call number:SPRINGER-2014-9783319014753:ONLINE Show nearby items on shelf
Title:Numerical Modelling of Astrophysical Turbulence [electronic resource]
Author(s): Wolfram Schmidt
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:In this SpringerBrief the author considers the underlying problems and questions that are common to numerical models of turbulence in different astrophysical systems. Turbulence has emerged as an important research topic inseveral areas of astrophysi cs. Understanding and modeling turbulence is particularly important for the dynamics of the interstellar medium, but also for the intergalactic medium, as well as in stars. The advancement of methods fornumerical simulations of astrophysical turbulence, h owever, is still challenging because of gravity, strong compressibility, magnetic fields, and other effects. The book begins with a review of general aspects of numerical simulationsof turbulence. In the main part the author presents findings from his num erical studies on astrophysical turbulence and discusses the astrophysical implications. He also explains in detail the numerical schemes utilized. Readers willfind that this book offers a compact yet comprehensive introduction
Contents:Turbulence theory
Simulation techniques
Phenomenology and statistics
Complex processes
ISBN:9783319014753
Series:eBooks
Series:SpringerLink
Series:SpringerBriefs in Astronomy, 2191-9100
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering mathematics
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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-2014-9781461495338:ONLINE Show nearby items on shelf
Title:Genericity in Nonlinear Analysis [electronic resource]
Author(s): Simeon Reich
Alexander J Zaslavski
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book presents an extensive collection of state-of-the-art results and references in nonlinear functional analysis demonstrating how the generic approach proves to be very useful in solving many interesting and importantproblems. Nonlinear analys is plays an ever-increasing role in theoretical and applied mathematics, as well as in many other areas of science such as engineering, statistics, computer science, economics, finance, and medicine. The textmay be used as supplementary material for gradu ate courses in nonlinear functional analysis, optimization theory and approximation theory, and is a treasure trove for instructors, researchers, and practitioners in mathematics and inthe mathematical sciences. Each chapter is self-contained proofs are solid and carefully communicated. Genericity in Nonlinear Analysis is the first book to systematically present the generic approach to nonlinear analysis. Topicspresented include convergence analysis of powers and infinite products via the Baire Category Theorem, fixed point theory of both single- and set-valued mappings, best approximation problems, discrete and continuous descent methods forminimization in a general Banach space, and the structure of minimal energy configurations with rational numbers i n the AubryMather theory
Contents:Preface
1. Introduction
2. Fixed Point Results and Convergence of Powers of Operators
3. Contractive Mappings
4. Dynamical Systems with Convex Lyapunov Functions
5. Relatively Nonexpansive Operators with Respect to Bregman Distances
6. Infinite Products
7.Best Approximation
8. Descent Methods
9. Set
Valued Mappings
References
Index
ISBN:9781461495338
Series:eBooks
Series:SpringerLink
Series:Developments in Mathematics, 1389-2177 : v34
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Functional analysis , Operator theory , Mathematical optimization
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Call number:SPRINGER-2014-9781461484714:ONLINE Show nearby items on shelf
Title:Statistical Decision Problems [electronic resource] : Selected Concepts and Portfolio Safeguard Case Studies
Author(s): Michael Zabarankin
Stan Uryasev
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces state-of-the-art practical decisionmaking through twent y-one case studies from real-life applications. The case studies cover a broad area of topics and the authors include links with source code and data, a very helpful tool for the reader. In its core, the textdemonstrates how to use different factors to fo rmulate statistical decision problems arising in various risk management applications, such as optimal hedging, portfolio optimization, cash flow matching, classification, and more. Thepresentation is organized into three parts: selected concepts of stat istical decision theory, statistical decision problems, and case studies with portfolio safeguard. The text is primarily aimed at practitioners in the areas of riskmanagement, decision making, and statistics. However, the inclusion of a fair bit of mathem atical rigor renders this monograph an excellent introduction to the theory of general error, deviation, and risk measures for graduatestudents. It can be used as supplementary reading for graduate courses including statistical analysis, data mining, stoc hastic programming, financial engineering, to name a few. The high level of detail may serve useful to appliedmathematicians, engineers, and statisticians interested in modeling and managing risk in various applications
Contents:1. Random Variables
2. Deviation, Risk, and Error Measures
3. Probabilistic Inequalities
4. Maximum Likelihood Method
5. Entropy Maximization
6. Regression Models
7. Classification
8. Statistical Decision Models with Risk and Deviation
9. Portfolio Safeguard Case Studies
Index
References
ISBN:9781461484714
Series:eBooks
Series:SpringerLink
Series:Springer Optimization and Its Applications, 1931-6828 : v85
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data mining , Mathematical optimization , Distribution (Probability theory) , Operations research
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Call number:SPRINGER-2014-9781461482239:ONLINE Show nearby items on shelf
Title:Multi-indicator Systems and Modelling in Partial Order [electronic resource]
Author(s): Rainer Brggemann
Lars Carlsen
Jochen Wittmann
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Multi-indicator Systems and Modelling in Partial Order contains the newest theoretical concepts as well as new applications, and applications where standard multivariate statistics fail. Some of the presentations have theircounterpart in the book how ever, there are many contributions, which are completely new in the field of applied partial order
Contents:Part A: Theory
Evaluation as a general approach to problem driven mathematical modeling
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations
Measures of Incomparability and of Inequality and their Applications
Measuring structural dissimilarity between finite partial orders
Measuring complexity of partially ordered sets
Part B: Partial Order as Tool to Analyse Composite Indicators
Comparative Knowledge Discovery with Partial Order and Composite Indicator
A software platform Towards a Comparison of Cars
A case study for Handling Ratio
Bas
ISBN:9781461482239
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Environmental management , Environmental sciences
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Call number:SPRINGER-2014-9781461479000:ONLINE Show nearby items on shelf
Title:XML and Web Technologies for Data Sciences with R [electronic resource]
Author(s): Deborah Nolan
Duncan Temple Lang
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Webpages and JavaScript cod e, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services,and interact with NoSQL databases and text sea rch applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describesstrategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant todata scientists, such as reading and writing spreadsheet documents both locally and via GoogleD ocs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code fromdescriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies thatreaders can use directly and adapt to their own work. The authors have focused on the integration of these technologies with the R statistical computing environment. However, the ideas and skills presented here are more general,and statisticians who use other computing environments will also find them relevant to their work. Deborah Nolan is Professor of Statistics at University of California, Berkeley. Duncan Temple Lang is Associate Professor of Statisticsat University of California, Davis and has been a member of both the S and R development teams
Contents:Data Formats XML and JSON
Web Technologies, Getting Data from the Web
General XML Application Areas
Bibliography
General Index
R Function and Parameter Index
R Package Index
R Class Index
Colophon
ISBN:9781461479000
Series:eBooks
Series:SpringerLink
Series:Use R!, 2197-5736
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical statistics
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Call number:SPRINGER-2013-9789491216831:ONLINE Show nearby items on shelf
Title:An Introduction to Order Statistics [electronic resource]
Author(s): Mohammad Ahsanullah
Valery B Nevzorov
Mohammad Shakil
Date:2013
Publisher:Paris : Atlantis Press : Imprint: Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time moreexperienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate thetheoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics,reliability engineering, meteorology, hydrology, business economics, sports ana lysis and many more
Note:Springer eBooks
Contents:Basic definitions
Distributions of order statistics
Sample quantiles and ranges
Representations for order statistics
Conditional distributions of order statistics
Order statistics for discrete distributions
Moments of order statistics: general relations
Moments of uniform and exponential order statistics
Moment relations for order statistics: normal distribution
Asymptotic behavior of the middle and intermediate order statistics
Asymptotic behavior of the extreme order statistics
Some properties of estimators based on order statistics
Minimum variance linear u
ISBN:9789491216831
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v3
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9789400755932:ONLINE Show nearby items on shelf
Title:Rational Reconstructions of Modern Physics [electronic resource]
Author(s): Peter Mittelstaedt
Date:2013
Edition:2nd ed. 2013
Publisher:Dordrecht : Springer Netherlands : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Newtons classical physics and its underlying ontology are loaded with several metaphysical hypotheses that cannot be justified by rational reasoning nor by experimental evidence. Furthermore, it is well known that some ofthese hypotheses are not cont ained in the great theories of Modern Physics, such as the theory of Special Relativity and Quantum Mechanics. This book shows that, on the basis of Newtons classical physics and by rationalreconstruction, the theory of Special Relativity as well as Quant um Mechanics can be obtained by partly eliminating or attenuating the metaphysical hypotheses. Moreover, it is shown that these reconstructions do not require additionalhypotheses or new experimental results. In the second edition the rational reconstruct ions are completed with respect to General Relativity and Cosmology. In addition, the statistics of quantum objects is elaborated in more detail withrespect to the rational reconstruction of quantum mechanics. The new material completes the approach of th e book as much as it is possible at the present state of knowledge. Presumably, the most important contribution that is added tothe second edition refers to the problem of interpretation of the three great theories of Modern Physics. It is shown in detail that in the light of rational reconstructions even realistic interpretations of the three theories ofModern Physics are possible and can easily be achieved
Note:Springer eBooks
Contents:Rise and Fall of Physical Theories
The Evolution of Modern Physics from the Classical World
Intuitiveness and Truth of Modern Physics
The New Approach: Reduction and Elimination of Metaphysical Hypotheses
Reconstruction of Special and General Relativity
Historical Development Versus Rational Reconstruction
Reconstruction of Special Relativity
Reconstruction of Quantum Mechanics
The Historical Development of Quantum Mechanics
The Reduction of Ontological Hypotheses
The Formal Languages of Classical Physics and of Quantum Physics
Three Constants of Nature
The
ISBN:9789400755932
Series:e-books
Series:SpringerLink (Online service)
Series:Fundamental Theories of Physics : v174
Series:Physics and Astronomy (Springer-11651)
Keywords: Science Philosophy
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Call number:SPRINGER-2013-9788132210535:ONLINE Show nearby items on shelf
Title:Combinatorial Matrix Theory and Generalized Inverses of Matrices [electronic resource]
Author(s): Ravindra B Bapat
Steve J Kirkland
K. Manjunatha Prasad
Simo Puntanen
Date:2013
Publisher:India : Springer India : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book consists of eighteen articles in the area of `Combinatorial Matrix Theory' and `Generalized Inverses of Matrices'. Original research and expository articles presented in this publication are written by leadingMathematicians and Statistician s working in these areas. The articles contained herein are on the following general topics: `matrices in graph theory', `generalized inverses of matrices', `matrix methods in statistics' and `magicsquares'. In the area of matrices and graphs, speci_c top ics addressed in this volume include energy of graphs, q-analog, immanants of matrices and graph realization of product of adjacency matrices. Topics in the book from `MatrixMethods in Statistics' are, for example, the analysis of BLUE via eigenvalues of covariance matrix, copulas, error orthogonal model, and orthogonal projectors in the linear regression models. Moore-Penrose inverse of perturbedoperators, reverse order law in the case of inde_nite inner product space, approximation numbers, condition nu mbers, idempotent matrices, semiring of nonnegative matrices, regular matrices over incline and partial order of matrices arethe topics addressed under the area of theory of generalized inverses. In addition to the above traditional topics and a report on CMTGIM 2012 as an appendix, we have an article on old magic squares from India
Note:Springer eBooks
Contents:Skew Spectrum of the Cartesian Product of an Oriented Graph with an Oriented Hypercube
Notes on Explicit Block Diagonalization
The Third Immanant of q
Laplacian Matrices of Trees and Laplacians of Regular Graphs
Matrix Product of Graphs
Determinant of the Laplacian Matrix of Weighted Directed Graphs
From Multivariate Skewed Distributions to Copulas
Revisiting the BLUE in a Linear Model via Proper Eigenvectors
Inference in Error Orthogonal Models
On the Entries of Orthogonal Projection Matrices
Moore
Penrose Inverse of Perturbed Operators on Hilbert Spaces
The Rev
ISBN:9788132210535
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Matrix theory , Mathematical statistics
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Call number:SPRINGER-2013-9783642399121:ONLINE Show nearby items on shelf
Title:Unobserved Variables [electronic resource] : Models and Misunderstandings
Author(s): David J Bartholomew
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:The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be madeon the basis of a sampl e of observations drawn from the distribution often, but not necessarily, a random sample. This brief deals with problems where some of the sample members are either unobserved or hypothetical, the lattercategory being introduced as a means of better expl aining the data. Sometimes we are interested in these kinds of variable themselves and sometimes in the parameters of the distribution. Many problems that can be cast into this formare treated. These include: missing data, mixtures, latent variables, time series and social measurement problems. Although all can be accommodated within a Bayesian framework, most are best treated from first principles
Note:Springer eBooks
Contents:1.Unobserved Variables
2.Measurement, Estimation and Prediction
3.Simple Mixtures
4.Models for Ability
5.A General Latent Variable Model
6.Prediction of Latent Variables
7.Identifiability
8.Categorical Variables
9.Models for Time Series
10.Missing Data
11.Social Measurement
12.Bayesian and Computational Methods
13.Unity and Diversity
ISBN:9783642399121
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9783642368097:ONLINE Show nearby items on shelf
Title:Analyzing Compositional Data with R [electronic resource]
Author(s): K. Gerald van den Boogaart
Raimon Tolosana-Delgado
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:This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptiveexploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples andcode chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package compositions, it is also a general introductory text on Compositional DataAnalysis. Awareness of their special characteristics spread in the Geosciences in the e arly sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research hasexpanded our understanding of their theoretical principles and the potentials and limitations of their inte rpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications withregard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject e njoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum ofrecent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate s tatistics. Knowledge of R is recommended but not required, as the book isself-contained
Note:Springer eBooks
Contents:Introduction
Fundamental Concepts of Compositional Data Analysis
Distributions for Random Compositions
Descriptive Analysis of Compositional Data
Linear Models for Compositions
Multivariate Statistics
Zeroes, Missings and Outliers
References
Index.
ISBN:9783642368097
Series:e-books
Series:SpringerLink (Online service)
Series:Use R!
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Geochemistry , Mathematical statistics
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Call number:SPRINGER-2013-9783642335907:ONLINE Show nearby items on shelf
Title:Mathematical Risk Analysis [electronic resource] : Dependence, Risk Bounds, Optimal Allocations and Portfolios
Author(s): Ludger Rschendorf
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:The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical riskanalysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text thatpresents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence andto the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant tooptimal risk allocation, optimal portfolio problems as well as to the optimization of insuran ce contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortablyreading and working with the present volume, which is intended for graduate students, practitioners and researchers a nd can serve as a reference resource for the main concepts and techniques.
Note:Springer eBooks
Contents:Preface
Part I: Stochastic Dependence and Extremal Risk
1 Copulas, Sklar's Theorem, and Distributional Transform
2 Frchet Classes, Risk Bounds, and Duality Theory
3 Convex Order, Excess of Loss, and Comonotonicity
4 Bounds for the Distribution Function and Value at Risk of the Joint Portfolio
5 Restrictions on the Dependence Structure
6 Dependence Orderings of Risk Vectors and Portfolios
Part II: Risk Measures and Worst Case Portfolios
7 Risk Measures for Real Risks
8 Risk Measures for Portfolio Vectors
9 Law Invariant Convex Risk Measures on L_d^p and Optimal Ma
ISBN:9783642335907
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2013-9783642318481:ONLINE Show nearby items on shelf
Title:Applied Multidimensional Scaling [electronic resource]
Author(s): Ingwer Borg
Patrick J. F Groenen
Patrick Mair
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). Thebook is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presentingways to enforce theoretical expectations on th e MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. Noparticular background knowledge is required, beyond a basic knowledge of stat istics
Note:Springer eBooks
Contents:First Steps
The Purpose of MDS
The Goodness of an MDS Solution
Proximities
Variants of Different MDS Models
Confirmatory MDS
Typical Mistakes in MDS
MDS Algorithms
Computer Programs for MDS
ISBN:9783642318481
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Visualization , Mathematical statistics , Philosophy (General)
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Call number:SPRINGER-2013-9783642317422:ONLINE Show nearby items on shelf
Title:Discrete Time Series, Processes, and Applications in Finance [electronic resource]
Author(s): Gilles Zumbach
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:Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world. Time series and processes are the natural tools for describing thedynamic behavior of financ ial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implications forimportant financial applications used in many ar eas like risk evaluation, option pricing or portfolio construction. The statistical tools used to extract information from raw data are introduced. Extensive multiscale empiricalstatistics provide a solid benchmark of stylized facts (heteroskedasticity, l ong memory, fat-tails, leverage), in order to assess various mathematical structures that can capture the observed regularities. The author introduces abroad range of processes and evaluates them systematically against the benchmark, summarizing the succe sses and limitations of these models from an empirical point of view. The outcome is that only multiscale ARCH processes with longmemory, discrete multiplicative structures and non-normal innovations are able to capture correctly the empirical properties. In particular, only a discrete time series framework allows to capture all the stylized facts in a process,whereas the stochastic calculus used in the continuum limit is too constraining. The present volume offers various applications and extensions for this class of processes including high-frequency volatility estimators, market riskevaluation, covariance estimation and multivariate extensions of the processes. The book discusses many practical implications and is addressed to practitioners and quants in the financial industry, as well as to academics, includinggraduate (Master or PhD level) students. The prerequisites are basic statistics and some elementary financial mathematics. Gilles Zumbach
Note:Springer eBooks
Contents:Preface
List of Figures
List of Tables
1. Introduction
2.Notation, naming and general definitions
3.Stylized facts
4.Empirical mug shots
5.Process Overview
6.Logarithmic versus relative random walks
7.ARCH processes
8.Stochastic volatility processes
9.Regime switching process
10.Price and volatility using high
frequency data
11.Time reversal asymmetry
12.Characterizing heteroskedasticity
13.The innovation distributions
14.Leverage effect
15.Processes and market risk evaluation
16.Option pricing
17.Properties of large covariance matrices
ISBN:9783642317422
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Finance, 1616-0533
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2013-9783642302534:ONLINE Show nearby items on shelf
Title:Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height [electronic resource]
Author(s): Erik Vanem
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:This book provides an example of a thorough statistical treatment in space and time of ocean wave data. It is demonstrated how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographicprocesses such as signific ant wave height in order to describe dependence structures and uncertainties in the data. This monograph is a research book and it is in some sense cross-disciplinary. The methodology itself is firmly rootedin the statistical research tradition, based on probability theory and stochastic processes. However, the methodology has been applied to a problem within physical oceanography, analysing data for significant wave height, which are ofcrucial importance to ocean engineering disciplines. Indeed, the stat istical properties of significant wave height are important for the design, construction and operation of ships and other marine and coastal structures. Furthermore,the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what these effects might be. Thus, this book is an important contribution to the on-going debate on climate change, itsimplications and how to adapt to a changing climate, with a particular focus on the maritime industries and the marin e environment. This book should be of general interest to anyone with an interest in statistical modelling ofenvironmental processes, and in particular to those with a particular interest in the ocean wave climate. It is written on a level that should be understandable to everyone with a basic background in statistics or elementarymathematics, and an introduction to some basic concepts is given in appendices for the uninitiated reader. The intended readership incudes students and professionals involved in statistics, oceanography, ocean engineering,environmental research, climate sciences and risk assessment. Moreover, different stakeholders within the maritime industries such as design offices, classif
Note:Springer eBooks
Contents:Preface
Acronyms
1.Introduction and Background
2.Literature Survey on StochasticWave Models
3.A Bayesian Hierarchical Space
Time Model for Significant Wave Height
4.Including a Log
Transform of the Data
6.Bayesian Hierarchical Modelling of the Ocean Windiness
7.Application: Impacts on Ship Structural Loads
8.Case study: Modelling the Effect of Climate Change on the Worlds Oceans
9.Summary and Conclusions
A.Markov Chain Monte Carlo Methods
B.Extreme Value Modelling
C.Markov Random Fields
D.Derivation of the Full Conditionals of the Bayesian Hierarchical
ISBN:9783642302534
Series:e-books
Series:SpringerLink (Online service)
Series:Ocean Engineering & Oceanography, 2194-6396 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
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Call number:SPRINGER-2013-9782817804255:ONLINE Show nearby items on shelf
Title:Psychologie statistique avec R [electronic resource]
Author(s): Yvonnick Nol
Date:2013
Publisher:Paris : Springer Paris : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Cet ouvrage couvre un programme complet de statistique pour la licence de psychologie (L1 L3), depuis les bases lmentaires de combinatoire et de probabilits jusqu'aux modles labors permettant de mettre l'preuve des hypothses psychologiques. Prsents partir de donnes relles, les modles tudis sont facilement applicables dans les champs divers de la psychologie (cognition, cognition sociale, dveloppement del'enfant, psychologie de la sant, psychologie du travail, psychocriminologie...). La mise en uvre pratique des procdures est dveloppe dans des exercices types prsents en un format unique, de la dfinition du problmestatistique la conclusion psychologique. La dmarche adopte par l'auteur est celle de la comparaison de modles. Chaque situation modliser fait d'abord l'objet d'hypothses psychologiques, traduites sous forme demodles, parmi lesquels on cherche le meilleur en termes de qualit d'ajustement et de parcimonie. Cette dmarche de slection de modles est illustre aussi bien avec les outils fishriens traditionnels (la valeur p), qu'avecles outils les plus rcents de la statistique baysienne (le facteur de Bayes). Les dernires recommandations de l'American Psychological Association en matire d'analyse, notamment l'infrence directe sur les tailles d'eff et, ontt intgres. A ce titre, l'ouvrage intressera autant l'tudiant que le chercheur dsireux de s'initier ces nouveaux outils. Deux librairies spcialises pour R (R2STATS et AtelieR), librement tlchargeables en ligneet dotes d'une interface graphique, per mettent de retrouver facilement tous les rsultats numriques prsents dans les exemples
Note:Springer eBooks
Contents:Description sur une variable
Description de liaison
Algbre des vnements
Calcul des probabilits
Esprances et moments
Notion de modle
Modles binomiaux
Modles multinomiaux
Modles gaussiens
Complments techniques
Bibliographie
Index
ISBN:9782817804255
Series:e-books
Series:SpringerLink (Online service)
Series:Pratique R, 2112-8294
Series:Mathematics and Statistics (Springer-11649)
Keywords: Philosophy (General) , Statistics
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Call number:SPRINGER-2013-9781461481454:ONLINE Show nearby items on shelf
Title:Mathematics for Econometrics [electronic resource]
Author(s): Phoebus J Dhrymes
Date:2013
Edition:4th ed. 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:The fourth edition of this book continues to deal with a number of mathematical topics that are of great importance in the study of classical econometrics. The major expansion involves a more complete coverage of basic aspects ofmathematics that cont inue to play an increasingly significant role in the literature of econometrics. Thus, the chapter on difference equations has been expanded to include enhanced treatment of lag operators (backward shift operatorsin the statistical literature) that are im portant not only in the context of the dynamic simultaneous equation GLSEM (general linear structural econometric model), but also time series analysis. New features in this edition includechapters on probability theory and the probabilistic basis of clas sical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristicroots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The bo ok also covers pseudo-inverses, solutions to systems of linear equations, solutions of vector difference equations with constant coefficients andrandom forcing functions, matrix differentiation, and permutation matrices. Its novel features include an intr oduction to asymptotic expansions, and examples of applications to the general-linear model (regression) and the generallinear structural econometric model (simultaneous equations). Also unique to this edition are two fairly extensive chapters on applicat ions to the GLM (general linear model), GLSEM and time series analysis which treat issues relevantto their underlying theoretical bases, estimation and forecasting. Professor Dhrymes is currently Professor of Economics at Columbia University. Earlier he t aught at Harvard, University of Pennsylvania, University of California at LosAngeles, and Monash University in Australia. He is a fellow of the Econometric Society and the American Statistical Associati
Note:Springer eBooks
Contents:Preface
Chapters
Bibliography
References
ISBN:9781461481454
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9781461477921:ONLINE Show nearby items on shelf
Title:Converting Data into Evidence [electronic resource] : A Statistics Primer for the Medical Practitioner
Author(s): Alfred DeMaris
Steven H Selman
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:Converting Data into Evidence: A Statistics Primer for the Medical Practitioner provides a thorough introduction to the key statistical techniques that medical practitioners encounter throughouttheir professional careers. Thesetechniques play an impo rtant part in evidence-based medicine or EBM. Adherence to EBM requires medical practitioners to keep abreast of the results of medical research as reported in their general and specialty journals. At the heartof this research is the science of statistics . It is through statistical techniques that researchers are able to discern the patterns in the data that tell a clinical story worth reporting. The authorsbegin by discussing samples andpopulations, issues involved in causality and causal inference, and ways of describing data. Theythenproceed through the major inferential techniques of hypothesis testing and estimation, providing examples of univariate andbivariate tests. The coverage then moves to statistical modeling, including linear and logistic reg ression and survival analysis. In a final chapter,a user-friendly introduction to some newer, cutting-edge, regression techniques willbe included, such asfixed-effects regression and growth-curve modeling. A unique feature of the work is the extensive pre sentation of statistical applications from recent medical literature. Over 30 different articles are explicatedherein, taken from such journals. With the aid of this primer, the medical researcher will also find it easier to communicate with the statistic ians on his or her research team. The book includes a glossary of statistical terms foreasy access. This is an important reference work for the shelves of physicians, nurses, nurse practitioners, physicians assistants, medical students, and residents.
Note:Springer eBooks
ISBN:9781461477921
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9781461468493:ONLINE Show nearby items on shelf
Title:Applied Predictive Modeling [electronic resource]
Author(s): Max Kuhn
Kjell Johnson
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:Springer eBooks
Contents:General Strategies
Regression Models
Classification Models
Other Considerations
Appendix
References
Indices
ISBN:9781461468493
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461454281:ONLINE Show nearby items on shelf
Title:ActivEpi Companion Textbook [electronic resource] : A supplement for use with the ActivEpi CD-ROM
Author(s): David G Kleinbaum
Kevin M Sullivan
Nancy D Barker
Date:2013
Edition:2nd ed. 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:This Companion Textbook supplements the ActivEpi CD-ROM, sold separately. The ActivEpi CD-ROM provides a multimedia presentation of concepts, commonly taught in an introductory epidemiology course. ActivEpi mixes a full array ofmedia to motivate, exp lain, visualize and apply epidemiological concepts. Virtually all of the material on the ActivEpi CD-ROM is included in the Companion Textbook. Because individuals differ in their learning skills, the ActivEpiCD-ROM and the ActivEpi Companion Textbook off er readers different but related options on how to learn epidemiology. The Textbook can be used as a hardcopy reference of the textual materials contained on the CD-ROM, as a resource forthe practice exercises, as a general reference, or even a self-conta ined textbook. The ActivEpi CD-ROM uses: Video to instill real-world motivation for learning and applying epidemiological concepts Narrated Expositions to teach theconcepts using high-quality audio synchronized with text, pictures, and animations Quizzes to provide self-evaluation of basic terms and concepts Data Desk to provide practice applying the methods learned to real data NavigationalTools such as a dynamic table of contents, index and glossary, to allow easy-to-use methods for working through cont ent Web Links to augment the material on the CD with complementary content authored by others. ActivEpi includes 15lessons and over 50 hours of content via more than 250 launchable activities and homework exercises. It can be used in a variety of teaching formats: distance learning, self-paced learning, on-campus courses, and short courses. For thelatest additions to ActivEpi, visit David Kleinbaum's website. http://www.sph.emory.edu/~dkleinb/activepi.htm
Note:Springer eBooks
Contents:Introduction
Objectives and Methods of Epidemiologic Research
Validity of Epidemiologic Research
Epidemiologic Analysis
Glossary
Index
ISBN:9781461454281
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology
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Call number:SPRINGER-2013-9781461450221:ONLINE Show nearby items on shelf
Title:Mathematical Statistics for Economics and Business [electronic resource]
Author(s): Ron C Mittelhammer
Date:2013
Edition:2nd ed. 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:Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, andeconometrics. The sele ction of topics in this textbook is designed to provide studentswith a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new editionhas been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, andprobability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted tothe theories of estimation and hypothesis testing with associated examples and problems that i ndicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow andpresentation to facilitate reading and understanding inclusion of additional topics of relevance to statistics and econometr ic applications a more streamlined and simple-to-understand notation for multiple integration and multiplesummation over general sets or vector arguments updated examples new end-of-chapter problems a solution manual for students a comprehensive answer ma nual for instructors anda theorem anddefinition map. This book has evolvedfrom numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced unde rgraduates.
Note:Springer eBooks
Contents:Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
Parametric Families of Density Functions
Basic Asymptotics
Sampling, Sample Moments, Sampling Distributions, and Simulation
Point Estimation Theory
Point Estimation Methods
Hypothesis Testing Theory
Hypothesis Testing Methods and Confidence Regions
Appendix
ISBN:9781461450221
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9781461448693:ONLINE Show nearby items on shelf
Title:The Methods of Distances in the Theory of Probability and Statistics [electronic resource]
Author(s): Svetlozar T Rachev
Lev B Klebanov
Stoyan V Stoyanov
Frank Fabozzi
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:This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to agiven probabilistic mode l. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison ofprobability metrics. After describing the basic struc ture of probability metrics and providing an analysis of the topologies in the space of probability measures generated by different types of probability metrics, the authors studystability problems by providing a characterization of the ideal metrics for a given problem and investigating the main relationships between different types of probability metrics. The presentation is provided in a general form,although specific cases are considered as they arise in the process of finding supplementary bounds or in applications to important special cases. Svetlozar T. Rachev is the Frey Family Foundation Chair of QuantitativeFinance, Department of Applied Mathematics and Statistics, SUNY-Stony Brook and Chief Scientist of Finanlytica, USA. Lev B. Klebanov is a P rofessor in the Department of Probability and Mathematical Statistics, Charles University,Prague, Czech Republic. Stoyan V. Stoyanov is a Professor at EDHEC Business School and Head of Research, EDHEC-Risk InstituteAsia (Singapore). Frank J. Fabozzi is a Professor at EDHEC Business School. (USA)
Note:Springer eBooks
Contents:Main directions in the theory of probability metrics
Probability distances and probability metrics: Definitions
Primary, simple and compound probability distances, and minimal and maximal distances and norms
A structural classification of probability distances
Monge
Kantorovich mass transference problem, minimal distances and minimal norms
Quantitative relationships between minimal distances and minimal norms
K
Minimal metrics
Relations between minimal and maximal distances
Moment problems related to the theory of probability metrics: Relations between compound and primar
ISBN:9781461448693
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2013-9781461442509:ONLINE Show nearby items on shelf
Title:Extremal Fuzzy Dynamic Systems [electronic resource] : Theory and Applications
Author(s): Gia Sirbiladze
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time asa sourceof fuzzy uncertainty in dynamic systems. It begins with athorough introduction, where the general research domain, the problems, and ways of their solutions are discussed. The book then progresses systematically by first covering the theoretical aspects before tackling the applications. Inthe application section, a software library is desc ribed, which contains discrete EFDS identification methods elaborated during fundamental research of the book. Extremal Fuzzy Dynamic Systems will be of interest to theoreticiansinterested in modeling fuzzy processes, to researchers who use fuzzy statisti cs, as well as practitioners from different disciplines whose research interests include abnormal, extreme and monotone processes in nature and society.Graduate students could also find this book useful
Note:Springer eBooks
Contents:Fuzzy Measures and Fuzzy Statistics: Its Probability Representations
Extended Extremal Fuzzy Measures
Extended Extremal Fuzzy Measures on Compositional Product of Measurable Spaces
Modeling of Extremal and Controllable Extremal Fuzzy Processes
Identification of Fuzzy
Integral Models of Extremal fuzzy Processes
Optimization of Continuous Controllable Extremal Fuzzy Processes and the Choice of Decisions
Problems of States Estimation (Filtration) of Extremal Fuzzy Processes
Conclusions on the Parts I
VII
Algorithms and software for Discrete Possibilistic EFDS
Applicat
ISBN:9781461442509
Series:e-books
Series:SpringerLink (Online service)
Series:IFSR International Series on Systems Science and Engineering, 1574-0463 : v28
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Computer simulation , Systems theory , Operations research
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Call number:SPRINGER-2013-9781447151227:ONLINE Show nearby items on shelf
Title:Real Analysis: Measures, Integrals and Applications [electronic resource]
Author(s): Boris Makarov
Anatolii Podkorytov
Date:2013
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Real Analysis: Measures, Integrals and Applications is devoted to the basics of integration theory and its related topics. The main emphasis is made on the properties of the Lebesgue integral and various applications bothclassical and those rarely co vered in literature. This book provides a detailed introduction to Lebesgue measure and integration as well as the classical results concerning integrals of multivariable functions. It examines theconcept of the Hausdorff measure, the properties of the a rea on smooth and Lipschitz surfaces, the divergence formula, and Laplace's method for finding the asymptotic behavior of integrals. The general theory is then applied toharmonic analysis, geometry, and topology. Preliminaries are provided on probability theory, including the study of the Rademacher functions as a sequence of independent random variables. The book contains more than 600 examples andexercises. The reader who has mastered the first third of the book will be able to study other areas of mat hematics that use integration, such as probability theory, statistics, functional analysis, partial probability theory,statistics, functional analysis, partial differential equations and others. Real Analysis: Measures, Integrals and Applications is inte nded for advanced undergraduate and graduate students in mathematics and physics. It assumes thatthe reader is familiar with basic linear algebra and differential calculus of functions of several variables
Note:Springer eBooks
Contents:Measure
The Lebesgue Model
Measurable Functions
The Integral
The Product Measure
Change of Variables in an Integral
Integrals Dependent on a Parameter
Surface Integrals
Approximation and Convolution of the Space
Fourier Series and the Fourier Transform
Charges. The Radon
Nikodym Theory
Integral Representation of Linear Functionals
Appendices
ISBN:9781447151227
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext, 0172-5939
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Fourier analysis , Geometry
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Call number:SPRINGER-2013-9781441909251:ONLINE Show nearby items on shelf
Title:Bayesian and Frequentist Regression Methods [electronic resource]
Author(s): Jon Wakefield
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:Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensivecombination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementarycomponents of the discussion. In particular, metho ds are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.While the philosophy behind each approach is discussed, the book is not i deological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approachescan lead to broadly similar conclusions. To use this text, the reader requires a basic understan ding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author'sexperience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the book
Note:Springer eBooks
Contents:Introduction
Frequentist Inference
Bayesian Inference
Linear Models
Binary Data Models
General Regression Models
ISBN:9781441909251
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9789400741539:ONLINE Show nearby items on shelf
Title:Geostatistics Oslo 2012 [electronic resource]
Author(s): Petter Abrahamsen
Ragnar Hauge
Odd Kolbjrnsen
Date:2012
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics.The book isdivided into four main sectio ns: Theory Petroleum Mining and Environment, Climate and Hydrology.The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on theparticular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planningof future industrial operations. Geostatistics is also an important tool for mappi ng environmental hazard and integrating climate data
Note:Springer eBooks
Contents:Foreword
Preface
Acknowledgements
Part I Theory
Sequential simulation with iterative methods
Applications of randomized methods for decomposing and simulating from large covariance matrices
Event
based geostatistical modeling: description and applications
A plurigaussian model for simulating regionalized compositions
New flexible non
parametric data transformation for trans
Gaussian kriging
Revisiting the linear model of coregionalisation
Modeling nonlinear beta probability fields
Approximations of high
order spatial statistics through decomposition
Multip
ISBN:9789400741539
Series:e-books
Series:SpringerLink (Online service)
Series:Quantitative Geology and Geostatistics, 0924-1973 : v17
Series:Mathematics and Statistics (Springer-11649)
Keywords: Geography , Mineralogy
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Call number:SPRINGER-2012-9788847024298:ONLINE Show nearby items on shelf
Title:Probabilitin Fisica [electronic resource]
Author(s): Guido Boffetta
Angelo Vulpiani
Date:2012
Publisher:Springer Milan
Size:1 online resource
Note:Undergraduate textbook
Note:Language: It
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9788847024298
Series:UNITEXT
Series:e-books
Keywords: Physics, general , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2012-9783642290756:ONLINE Show nearby items on shelf
Title:Novelty, Information and Surprise [electronic resource]
Author(s): Gnther Palm
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book offers a new approach to information theory that is more general then the classical approach by Shannon. The classical definition of information is given for an alphabet of symbols or for a set of mutually exclusivepropositions (a partition of the probability space ) with corresponding probabilities adding up to 1. The new definition is given for an arbitrary cover of , i.e. for a set of possibly overlapping propositions. The generalizedinformation concept is called novelty and it is accompa nied by two new concepts derived from it, designated as information and surprise, which describe opposite versions of novelty, information being related more to classicalinformation theory and surprise being related more to the classical concept of statis tical significance. In the discussion of these three concepts and their interrelations several properties or classes of covers are defined, which turnout to be lattices. The book also presents applications of these new concepts, mostly in statistics and i n neuroscience
Note:Springer eBooks
Contents:Part I Surprise and Information of Descriptions: Prerequisites
Improbability and Novelty of Descriptions
Conditional Novelty and Information
Part II Coding and Information Transmission: On Guessing and Coding
Information Transmission
Part III Information Rate and Channel Capacity: Stationary Processes and Information Rate
Channel Capacity
Shannon's Theorem
Part IV Repertoires and Covers: Repertoires and Descriptions
Novelty, Information and Surprise of Repertoires
Conditioning, Mutual Information and Information Gain
Part V Information, Novelty and Surprise in
ISBN:9783642290756
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Optical pattern recognition , Neurobiology , Algebra
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Call number:SPRINGER-2012-9783642284397:ONLINE Show nearby items on shelf
Title:Stochastic Models in Life Insurance [electronic resource]
Author(s): Michael Koller
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means ofMarkov chains. Two chapter s covering ALM and abstract valuation concepts on the background of Solvency II complete this volume. Numerous examples and a parallel treatment of discrete and continuous approaches help the reader toimplement the theory directly in practice
Note:Springer eBooks
Contents:1. A general life insurance model
2. Stochastic processes
3. Interest rate
4. Cash flows and the mathematical reserve
5. Difference equations and differential equations
6. Examples and problems from applications
7. Hattendorff's Theorem
8. Unit
linked policies
9. Policies with stochastic interest rate
10. Technical analysis
11. Abstract valuation
12. Policyholder bonus mechanism
A. Notes on stochastic integration
B. Examples
C. Mortality rates in Germany
D. Mortality rates in Switzerland
E. Java code for the calculation of the Markov model
Ref
ISBN:9783642284397
Series:e-books
Series:SpringerLink (Online service)
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2012-9783642255328:ONLINE Show nearby items on shelf
Title:Asymptotics for Associated Random Variables [electronic resource]
Author(s): Paulo Eduardo Oliveira
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book concerns the notion of association in probability and statistics. Association and some other positive dependence notions were introduced in 1966 and 1967 but received little attention from the probabilistic and statisticscommunity. The inter est in these dependence notions increased in the last 15 to 20 years, and many asymptotic results were proved and improved. Despite this increased interest, characterizations and results remained essentiallyscattered in the literature published in differe nt journals. The goal of this book is to bring together the bulk of these results, presenting the theory in a unified way, explaining relations and implications of the results. It willpresent basic definitions and characterizations, followed by a collecti on of relevant inequalities. These are then applied to characterize almost sure and weak convergence of sequences of associated variables. It will also coverapplications of positive dependence to the characterization of asymptotic results in nonparametric statistics. The book is directed towards researchers in probability and statistics, withparticular emphasis on people interested innonparametric methods. It will also be of interest to graduate students in those areas. The book could also be used as a re ference on association in a course covering dependent variables and their asymptotics. As prerequisite, readersshould have knowledge of basic probability on the reals and on metric spaces. Some acquaintance with the asymptotics of random functions, such u s empirical processes and partial sums processes, is useful but not essential
Note:Springer eBooks
Contents:Positive Dependence
Inequalities
Almost Sure Convergence
Convergence in Distribution
Convergence in Distribution Functional Results
Appendices A General Iinequalities
B General Results on Large
C Miscellaneous
References
Index
ISBN:9783642255328
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory) , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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Call number:SPRINGER-2012-9783642248887:ONLINE Show nearby items on shelf
Title:Finsler Geometry [electronic resource] : An Approach via Randers Spaces
Author(s): Xinyue Cheng
Zhongmin Shen
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Finsler Geometry: An Approach via Randers Spaces exclusively deals with a special class of Finsler metrics -- Randers metrics, which are defined as the sum of a Riemannian metric and a 1-form. Randers metrics derive from theresearch on General Relati vity Theory and have been applied in many areas of the natural sciences. They can also be naturally deduced as the solution of the Zermelo navigation problem. The book provides readers not only with essentialfindings on Randers metrics but also the core i deas and methods which are useful in Finsler geometry. It will be of significant interest to researchers and practitioners working in Finsler geometry, even in differential geometry orrelated natural fields. Xinyue Cheng is a Professor at the School of Ma thematics and Statistics of Chongqing University of Technology, China. Zhongmin Shen is a Professor at the Department of Mathematical Sciences of Indiana UniversityPurdue University, USA
Note:Springer eBooks
Contents:Randers Spaces
Randers Metrics and Geodesics
Randers Metrics of Isotropic S
Curvature
Riemann Curvature and Ricci Curvature
Projective Geometry of Randers Spaces
Randers Metrics with Special Riemann Curvature Properties
Randers Metrics of Weakly Isotropic Flag Curvature
Projectively Flat Randers Metrics
Conformal Geometry of Randers Metrics
Dually Flat Randers Metrics
ISBN:9783642248887
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geometry , Global differential geometry , Mathematical physics
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