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SPIRES-BOOKS: FIND KEYWORD STATISTICS AND COMPUTING/STATISTICS PROGRAMS *END*INIT* use /tmp/qspiwww.webspi1/10338.95 QRY 131.225.70.96 . find keyword statistics and computing/statistics programs ( in books using www Cover
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Call number:SPRINGER-2016-9789811008894:ONLINE Show nearby items on shelf
Title:Examples in Parametric Inference with R
Author(s): Ulhas Jayram Dixit
Date:2016
Size:1 online resource (423 p.)
Note:10.1007/978-981-10-0889-4
Contents:Prerequisite -- Chapter 1. Sufficiency and Completeness -- Chapter 2. Unbiased Estimation -- Chapter 3. Moment and Maximum Likelihood Estimators -- Chapter 4. Bound for the Variance -- Chapter 5. Consistent Estimator -- Chapter 6. Bayes Estimator - - Chapter 7. Most Powerful Test -- Chapter 8. Unbiased and Other Tests -- Bibliography
ISBN:9789811008894
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematical statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Probability and Statistics in Computer Science
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Call number:SPRINGER-2016-9784431554592:ONLINE Show nearby items on shelf
Title:Algebraic and Computational Aspects of Real Tensor Ranks
Author(s): Toshio Sakata
Date:2016
Edition:1st ed. 2016
Size:1 online resource (108 p.)
Note:10.1007/978-4-431-55459-2
Contents:Basics of Tensor Rank -- 3-Tensors -- Simple Evaluation Methods of Tensor Rank -- Absolutely Nonsingular Tensors and Determinantal Polynomials -- Maximal Ranks -- Typical Ranks -- Global Theory of Tensor Ranks -- 2 × 2 × · · · × 2 Tensors
ISBN:9784431554592
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics and Computing/Statistics Programs , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2016-9784431553878:ONLINE Show nearby items on shelf
Title:Applied Matrix and Tensor Variate Data Analysis
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (23 p.)
Note:10.1007/978-4-431-55387-8
Contents:1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to I mage Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Tos hio Sakata)
ISBN:9784431553878
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2016-9783319391823:ONLINE Show nearby items on shelf
Title:Excel 2016 for Engineering Statistics A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Date:2016
Size:1 online resource (161 p.)
Note:10.1007/978-3-319-39182-3
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 o f 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:9783319391823
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Applied mathematics , Engineering mathematics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics and Computing/Statistics Programs , Appl.Mathematics/Computational Methods of Engineering
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Call number:SPRINGER-2016-9783319312668:ONLINE Show nearby items on shelf
Title:mODa 11 - Advances in Model-Oriented Design and Analysis Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016
Author(s):
Date:2016
Size:1 online resource (11 p.)
Note:10.1007/978-3-319-31266-8
ISBN:9783319312668
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2016-9783319312606:ONLINE Show nearby items on shelf
Title:Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data Proceedings of the 2015 International Symposium in Statistics
Author(s):
Date:2016
Size:1 online resource (6 p.)
Note:10.1007/978-3-319-31260-6
ISBN:9783319312606
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Statistics: 218
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2016-9783319306346:ONLINE Show nearby items on shelf
Title:Introduction to Nonparametric Statistics for the Biological Sciences Using R
Author(s): Thomas W MacFarland
Date:2016
Size:1 online resource (64 p.)
Note:10.1007/978-3-319-30634-6
Contents:Chapter 1 Nonparametric Statistics for the Biological Sciences -- Chapter 2 Sign Test -- Chapter 3 Chi-Square -- Chapter 4 Mann-Whitney U Test -- Chapter 5 Wilcoxon Matched-Pairs Signed-Ranks Test -- Chapter 6 Kruskal-Wallis H-Test for Oneway Analy sis of Variance (ANOVA) by Ranks -- Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks -- Chapter 8 Spearman's Rank-Difference Coefficient of Correlation -- Chapter 9 Other Nonparametric Tests for the Biological Sciences
ISBN:9783319306346
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Agriculture , Biostatistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Statistics and Computing/Statistics Programs , Biostatistics , Agriculture , Statistical Theory and Methods
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Call number:SPRINGER-2016-9783319287096:ONLINE Show nearby items on shelf
Title:Data Mining with SPSS Modeler Theory, Exercises and Solutions
Author(s): Tilo Wendler
Date:2016
Size:1 online resource (1277 p.)
Note:10.1007/978-3-319-28709-6
Contents:Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book
ISBN:9783319287096
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Data mining , Computer software , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Data Mining and Knowledge Discovery , Mathematical Software
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Call number:SPRINGER-2016-9783319285993:ONLINE Show nearby items on shelf
Title:Multivariate Time Series With Linear State Space Structure
Author(s): Víctor Gómez
Date:2016
Size:1 online resource (541 p.)
Note:10.1007/978-3-319-28599-3
Contents:Preface -- Computer Software -- Orthogonal Projection -- Linear Models -- Stationarity and Linear Time Series Models -- The State Space Model -- Time Invariant State Space Models -- Time Invariant State Space Models With Inputs -- Wiener–Kolmogor ov Filtering and Smoothing -- SSMMATLAB -- Bibliography -- Author Index -- Subject Index
ISBN:9783319285993
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Probabilities , Econometrics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Econometrics , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2016-9783319283166:ONLINE Show nearby items on shelf
Title:An Introduction to Statistics with Python With Applications in the Life Sciences
Author(s): Thomas Haslwanter
Date:2016
Size:1 online resource (85 p.)
Note:10.1007/978-3-319-28316-6
Contents:Part I: Python and Statistics -- Why Statistics? -- Python -- Data Input -- Display of Statistical Data -- Part II: Distributions and Hypothesis Tests -- Background -- Distributions of One Variable -- Hypothesis Tests -- Tests of Means of Numerical Data -- Tests on Categorical Data -- Analysis of Survival Times -- Part III: Statistical Modelling -- Linear Regression Models -- Multivariate Data Analysis -- Tests on Discrete Data -- Bayesian Statistics -- Solutions -- Glossary -- Index
ISBN:9783319283166
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Programming languages (Electronic computers) , Biostatistics , Computer mathematics , Statistics , Statistics and Computing/Statistics Programs , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Computational Science and Engineering , Programming Languages, Compilers, Interpreters
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Call number:SPRINGER-2016-9783319281582:ONLINE Show nearby items on shelf
Title:Modeling Discrete Time-to-Event Data
Author(s): Gerhard Tutz
Date:2016
Size:1 online resource (3 p.)
Note:10.1007/978-3-319-28158-2
Contents:Introduction -- The Life Table -- Basic Regression Models -- Evaluation and Model Choice -- Nonparametric Modelling and Smooth Effects -- Tree-Based Approaches -- High-Dimensional Models - Structuring and Selection of Predictors -- Competing Risks Models -- Multiple-Spell Analysis -- Frailty Models and Heterogeneity -- Multiple-Spell Analysis -- List of Examples -- Bibliography -- Subject Index -- Author Index
ISBN:9783319281582
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2016-9783319270999:ONLINE Show nearby items on shelf
Title:Statistical Analysis for High-Dimensional Data The Abel Symposium 2014
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (19 p.)
Note:10.1007/978-3-319-27099-9
Contents:Some Themes in High-Dimensional Statistics: A. Frigessi et al -- Laplace Appoximation in High-Dimensional Bayesian Regression: R. Barber, M. Drton et al -- Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration: L.C. Berg ersen, I. Glad et al -- Spectral Clustering and Block Models: a Review and a new Algorithm: S. Bhattacharyya et al -- Bayesian Hierarchical Mixture Models: L. Bottelo et al -- iBATCGH Integrative Bayesian Analysis of Transcriptomic and CGH Data: Cassese, M. Vannucci et al -- Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure: A.J. Cron, M. West -- Combining Single and Paired End RNA-seq Data for Differential Expression Analysis: F. Feng, T.Speed et al -- An Imputation Me thod for Estimation the Learning Curve in Classification Problems: E. Laber et al -- Baysian Feature Allocation Models for Tumor Heterogeneity: J. Lee, P. Mueller et al -- Bayesian Penalty Mixing: The Case of a Non-Separable Penalty: V.
Rockova et al -- Confidence Intervals for Maximin Effects in Inhomogeneous Large Scale Data: D. Rothenhausler et al -- Chisquare Confidence Sets in High-Dimensional Regression: S. van de Geer et al.
ISBN:9783319270999
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Abel Symposia: 11
Keywords: Mathematics , Bioinformatics , Computer mathematics , Statistics , Mathematics , Computational Mathematics and Numerical Analysis , Statistical Theory and Methods , Bioinformatics , Statistics and Computing/Statistics Programs , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2016-9783319242774:ONLINE Show nearby items on shelf
Title:ggplot2 Elegant Graphics for Data Analysis
Author(s): Hadley Wickham
Date:2016
Edition:2nd ed. 2016
Size:1 online resource (140 p.)
Note:10.1007/978-3-319-24277-4
Contents:Introduction -- Getting Started with ggplot2 -- Toolbox -- Mastering the Grammar -- Building a Plot Layer by Layer -- Scales, Axes and Legends -- Positioning -- Themes -- Data Analysis -- Data Transformation -- Modelling for Visualisation -- Progra mming with ggplot2 -- Index -- R Code Index.
ISBN:9783319242774
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Computer graphics , Mathematics , Visualization , Statistics , Statistics and Computing/Statistics Programs , Visualization , Computer Graphics
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Call number:SPRINGER-2013-9781461457404:ONLINE Show nearby items on shelf
Title:OpenStat Reference Manual [electronic resource]
Author(s): William Miller
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 reference manual for the OpenStat software, an open-source software developed by William Miller, coversa broad spectrum ofstatisticalmethods and techniques.A unique feature is its compatibility with many otherstatistical programs. OpenStat users are researchers and students in thesocial sciences,education, orpsychology, who benefit from the hands on approach to Statistics.During and upon completion of courses in Statistics ormeasurement, students and future researchers need a low cost computer p rogram available to them, and OpenStat fills this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. The manualcovers all functions of the OpenStat software, including measurement, ANOVAS, regression ana lyses, simulations, product-moment and partial correlations, and logistic regression. The manual is an important learning tool that explainsthe Statistics behind the many analyses possible with the program and demonstrates these analyses. William Miller h as a diverse background in Industrial Technology, Psychology, Statistics and Measurement. He has taught courses inElectronics, computer programming, educational psychology, measurement and statistics and published many articles in these subject areas He h as taught statistics for over 30 years and developed a number of statistical packages forfree use by educators and researchers in a variety of fields including education, psychology, medicine, economics and geology. He received his PhD. from the Universit y of Iowa in Educational Psychology, Statistics and Measurement.His academic experiences include director of two university computing centers, director of a counseling center and assistant to a university president for information services in addition to his teaching
Note:Springer eBooks
Contents:OPENSTAT REFERENCE MANUAL
PREFACE
TABLE OF CONTENTS
INTRODUCTION
INSTALLING OPENSTAT
STARTING OPENSTAT
FILES
CREATING A FILE
ENTERING DATA
SAVING A FILE
DISTRIBUTIONS
DESCRIPTIVE ANALYSES
VERSUS Y PLOTS
VERSUS MULTIPLE Y PLOT
CORRELATION
COMPARISONS
MULTIVARIATE
NON
PARAMETRIC
MEASUREMENT
STATISTICAL PROCESS CONTROL
LINEAR PROGRAMMING
THE ITEM BANKING PROGRAM
NEURAL NETWORKS
USING THE PROGRAM
EXAMPLES
INDEX
ISBN:9781461457404
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9783642172830:ONLINE Show nearby items on shelf
Title:CGAL Arrangements and Their Applications [electronic resource] : A Step-by-Step Guide
Author(s): Efi Fogel
Dan Halperin
Ron Wein
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Arrangements of curves constitute fundamental structures that have been intensively studied in computational geometry. Arrangements have numerous applications in a wide range of areas examples include geographic informationsystems, robot motion plan ning, statistics, computer-assisted surgery and molecular biology. Implementing robust algorithms for arrangements is a notoriously difficult task, and the CGAL arrangements package is the first robust,comprehensive, generic and efficient implementation o f data structures and algorithms for arrangements of curves. This book is about how to use CGAL two-dimensional arrangements to solve problems. The authors first demonstrate thefeatures of the arrangement package and related packages using small example programs. They then describe applications, i.e., complete standalone programs written on top of CGAL arrangements used to solve meaningful problems forexample, finding the minimum-area triangle defined by a set of points, planning the motion of a polygon translating among polygons in the plane, computing the offset polygon, finding the largest common point sets under approximatecongruence, constructing the farthest-point Voronoi diagram, coordinating the motion of two discs moving among obstacles in the plane, and performing Boolean operations on curved polygons. The book contains comprehensiveexplanations of the solution programs, many illustrations, and detailed notes on further reading, and it is supported by a website that contains downloadable soft ware and exercises. It will be suitable for graduate students andresearchers involved in applied research in computational geometry, and for professionals who require worked-out solutions to real-life geometric problems. It is assumed that the reader is f amiliar with the C++ programming-language andwith the basics of the generic-programming paradigm
Note:Springer eBooks
Contents:Introduction
Basic Arrangements
Queries and Free Functions
Arrangements of Unbounded Curves
Arrangement
Traits Classes
Extending the Arrangement
Adapting to Boost Graphs
Operations on (Curved) Polygons
Minkowski Sums and Offset Polygons
Envelopes
Prospects
Bibliography
Index
ISBN:9783642172830
Series:e-books
Series:SpringerLink (Online service)
Series:Geometry and Computing, 1866-6795 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science , Computer vision , Geometry , Engineering mathematics
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Call number:SPRINGER-2010-9781441913180:ONLINE Show nearby items on shelf
Title:R for Stata Users [electronic resource]
Author(s): Robert A Muenchen
Joseph Hilbe
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This bookshows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrastingthe two packages' different approaches. When f inished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic statisticalanalyses. A glossary defines over 50 R terms using Stata jargon and aga in using more formal R terminology. The table of contents and index allow you to find equivalent R functions by looking up Stata commands and vice versa. Theexample programs and practice datasets for both R and Stata are available for download. Robert A. Muenchen is the author of the book, R for SAS and SPSS Users, and is a consulting statistician with 29 years of experience. He has servedon the advisory boards of SAS Institute, SPSS Inc., and the Statistical Graphics Corporation. He currently manages Res earch Computing Support at The University of Tennessee. Joseph M. Hilbe is Solar System Ambassador with NASA/JetPropulsion Laboratory, California Institute of Technology, an adjunct professor of statistics at Arizona State, and emeritus professor at the U niversity of Hawaii. He is a Fellow of the American Statistical Association and electedmember of the International Statistical Institute. Hilbe was the first editor of the Stata Technical Bulletin, (later named the Stata Journal) and is author of a number of textbooks, including Logistic Regression Models and NegativeBinomial Regression
Note:Springer eBooks
Contents:Introduction
Installing and Updating R
Running R
Help and Documentation
Programming Language Basics
Data Acquisition
Selecting Variables
Selecting Observations
Selecting Variables and Observations
Data Management
Enhancing Your Output
Generating Data
Managing Your Files and Workspace
Graphics Overview
Traditional Graphics
Graphics with ggplot2
Statistics
Conclusion
ISBN:9781441913180
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2008-9780387747316:ONLINE Show nearby items on shelf
Title:Data Manipulation with R [electronic resource]
Author(s): Phil Spector
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Since its inception, R has become one of the preeminent programs for statistical computing and data analysis. The ready availability of the program, along with a wide variety of packages and the supportive R community make R anexcellent choice for al most any kind of computing task related to statistics. However, many users, especially those with experience in other languages, do not take advantage of the full power of R. Because of the nature of R, solutionsthat make sense in other languages may not be very efficient in R. This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a numberof readily available packages from CRAN (the Comprehensive R Arch ive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use ofthe varied functions in R that are provided for common data management tasks. Most exp erienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, inconjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked withinR, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programmingconstructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are providedthroughout the book. Using a variety of examples based on data sets included with R, along with easily simulated data sets, the book is
Note:Springer eBooks
Contents:Data in R
Reading and writing data
R and databases
Dates
Factors
Subscripting
Character manipulation
Data aggregation
Reshaping data
Index
ISBN:9780387747316
Series:e-books
Series:SpringerLink (Online service)
Series:Use R!
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2004-9783790826562:ONLINE Show nearby items on shelf
Title:COMPSTAT 2004 — Proceedings in Computational Statistics 16th Symposium Held in Prague, Czech Republic, 2004
Author(s):
Date:2004
Size:1 online resource (580 p.)
Note:10.1007/978-3-7908-2656-2
Contents:Invited papers -- The history of COMPSTAT and key-steps of statistical computing during the last 30 years -- Hybrid algorithms for construction of D-efficient designs -- Geometry of learning in in multilayer perceptrons -- Visual data
mining for quantized spatial data -- Graphs for representing statistics indexed by nucleotide or amino acid sequences -- Matrix visualization and information mining -- st-apps and EMILeA-stat: Interactive visualizations in descriptive
statistics -- The case sensitivity function approach to diagnostic and robust computation: A relaxation strategy -- On the bootstrap methodology for functional data -- A novel approach to parametrization and parameter estimation in
linear dynamic systems -- Statistical analysis of handwritten Arabic numerals in a Chinese population -- Methods and algorithms for robust filtering -- Using GO for statistical analyses -- Computational challenges in determining an
optimal design for an experiment -- Visualization of parametric carcinogenesis models -- Design aspects of a computer simulation study for assessing uncertainty in human lifetime toxicokinetic models -- Simultaneous inference in risk
assessment a Bayesian perspective -- Interactive biplots for visual modelling -- R: The next generation -- Robust multidimensional scaling -- Improved jackknife variance estimates of bilinear model parameters -- Line mosaic plot:
Algorithm and implementation -- Graphical displays of Internet traffic data -- Clustering all three modes of three-mode data: Computational possibilities and problems -- Functional data analysis and mixed effect models -- Using weights
with a text proximity matrix -- On canonical analysis of vector time series -- Learning statistics by doing or by describing: The role of software -- Embedding methods and robust statistics for dimension reduction -- A general
partition cluster algorithm -- Iterative denoising for cross-corpus discovery -- From data to differential equations -- Simple simulations for robust tests of multiple outliers in regression -- The St@tNet project for teaching
statistics -- An automatic thresholding approach to gene expression analysis -- Kernel methods for manifold estimation -- Outlier detection and clustering by partial mixture modeling -- InterDatabase and DandD -- Exploratory visual
analysis of graphs in GGobi -- PLS regression and PLS path modeling for multiple table analysis -- 1001 graphics -- Fitting Bradley Terry Models using a multiplicative algorithm -- Modelling multiple time series: Achieving the aims --
Total least squares and errors-in-variables modeling: Bridging the gap between statistics, computational mathematics and engineering -- Author Index -- COMPSTAT 2004 Section Index
ISBN:9783790826562
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical statistics , Database management , Information storage and retrieval , Computer software , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Mathematical Software , Database Management , Statistics and Computing/Statistics Programs , Information Storage and Retrieval , Probability and Statistics in Computer Science
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Call number:SPRINGER-2004-9783662059463:ONLINE Show nearby items on shelf
Title:Automatic Nonuniform Random Variate Generation
Author(s): Wolfgang Hörmann
Date:2004
Size:1 online resource (441 p.)
Note:10.1007/978-3-662-05946-3
Contents:1 Introduction -- 2 General Principles in Random Variate Generation -- 3 General Principles for Discrete Distributions -- 4 Transformed Density Rejection (TDR) -- 5 Strip Methods -- 6 Methods Based on General Inequalities -- 7
Numerical Inversion -- 8 Comparison and General Considerations -- 9 Distributions Where the Density Is Not Known Explicitly -- 10 Discrete Distributions -- 11 Multivariate Distributions -- 12 Combination of Generation and Modeling --
13 Time Series (Authors Michael Hauser and Wolfgang Hörmann) -- 14 Markov Chain Monte Carlo Methods -- 15 Some Simulation Examples -- List of Algorithms -- References -- Author index -- Selected Notation -- Subject Index and Glossary
ISBN:9783662059463
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer science , Computer simulation , Computer mathematics , Algorithms , Probabilities , Statistics , Mathematics , Computational Mathematics and Numerical Analysis , Probability Theory and Stochastic Processes , Mathematics of Computing , Statistics and Computing/Statistics Programs , Algorithms , Simulation and Modeling
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Call number:SPRINGER-2004-9783034879583:ONLINE Show nearby items on shelf
Title:Theory and Applications of Recent Robust Methods
Author(s):
Date:2004
Size:1 online resource (400 p.)
Note:10.1007/978-3-0348-7958-3
Contents:Bias Behavior of the Minimum Volume Ellipsoid Estimate -- A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight -- Robust Strategies for Quantitative Investment
Management -- An Adaptive Algorithm for Quantile Regression -- On Properties of Support Vector Machines for Pattern Recognition in Finite Samples -- Smoothed Local L-Estimation With an Application -- Fast Algorithms for Computing High
Breakdown Covariance Matrices with Missing Data -- Generalized d-fullness Technique for Breakdown Point Study of the Trimmed Likelihood Estimator with Application -- On Robustness to Outliers of Parametric L2 Estimate Criterion in the
Case of Bivariate Normal Mixtures: a Simulation Study -- Robust PCR and Robust PLSR: a Comparative Study -- Analytic Estimator Densities for Common Parameters under Misspecified Models -- Empirical Comparison of the Classification
Performance of Robust Linear and Quadratic Discriminant Analysis -- Estimates of the Tail Index Based on Nonparametric Tests -- On Mardia’s Tests of Multinormality -- Robustness in Sequential Discrimination of Markov Chains under
“Contamination” -- Robust Box-Cox Transformations for Simple Regression -- Consistency of the Least Weighted Squares Regression Estimator -- Algorithms for Robust Model Selection in Linear Regression -- Analyzing the Number of Samples
Required for an Approximate Monte-Carlo LMS Line Estimator -- Visualizing 1D Regression -- Robust Redundancy Analysis by Alternating Regression -- Robust ML-estimation of the Transmitter Location -- A Family of Scale Estimators by
Means of Trimming -- Robust Efficient Method of Moments Estimation -- Computational Geometry and Statistical Depth Measures -- Partial Mixture Estimation and Outlier Detection in Data and Regression -- Robust Fitting Using Mean Shift:
Applications in Computer Vision -- Testing the Equality of Location Parameters for Skewed Distributions Using S1 with High Breakdown Robust Scale Estimators -- Rank Scores Tests of Multivariate Independence -- The Influence of a
Stochastic Interest Rate on the n-fold Compound Option -- Robust Estimations for Multivariate Sinh-1-Normal Distribution -- A Robust Estimator of the Tail Index Based on an Exponential Regression Model -- Robust Processing of
Mechanical Vibration Measurements -- Quadratic Mixed Integer Programming Models in Minimax Robust Regression Estimators
ISBN:9783034879583
Series:eBooks
Series:SpringerLink (Online service)
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Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2004-9781475741452:ONLINE Show nearby items on shelf
Title:Monte Carlo Statistical Methods
Author(s): Christian P Robert
Date:2004
Edition:Second Edition
Size:1 online resource (649 p.)
Note:10.1007/978-1-4757-4145-2
Contents:1 Introduction -- 2 Random Variable Generation -- 3 Monte Carlo Integration -- 4 Controling Monte Carlo Variance -- 5 Monte Carlo Optimization -- 6 Markov Chains -- 7 The Metropolis—Hastings Algorithm -- 8 The Slice Sampler -- 9 The
Two-Stage Gibbs Sampler -- 10 The Multi-Stage Gibbs Sampler -- 11 Variable Dimension Models and Reversible Jump Algorithms -- 12 Diagnosing Convergence -- 13 Perfect Sampling -- 14 Iterated and Sequential Importance Sampling -- A
Probability Distributions -- B Notation -- B.1 Mathematical -- B.2 Probability -- B.3 Distributions -- B.4 Markov Chains -- B.5 Statistics -- B.6 Algorithms -- References -- Index of Names -- Index of Subjects
ISBN:9781475741452
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematical statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Probability and Statistics in Computer Science
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Call number:SPRINGER-2003-9780387216102:ONLINE Show nearby items on shelf
Title:Random Number Generation and Monte Carlo Methods
Author(s): James E Gentle
Date:2003
Edition:Second Edition
Size:1 online resource (382 p.)
Note:10.1007/b97336
Contents:Simulating Random Numbers from a Uniform Distribution -- Quality of Random Number Generators -- Quasirandom Numbers -- Transformations of Uniform Deviates: General Methods -- Simulating Random Numbers from Specific Distributions --
Generation of Random Samples, Permutations, and Stochastic Processes -- Monte Carlo Methods -- Software for Random Number Generation -- Monte Carlo Studies in Statistics
ISBN:9780387216102
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Numerical analysis , Statistics , Statistics and Computing/Statistics Programs , Numerical Analysis
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Call number:SPRINGER-2002-9783642574894:ONLINE Show nearby items on shelf
Title:Compstat Proceedings in Computational Statistics
Author(s):
Date:2002
Size:1 online resource (648 p.)
Note:10.1007/978-3-642-57489-4
ISBN:9783642574894
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer software , Statistics , Mathematics , Mathematical Software , Statistics and Computing/Statistics Programs , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9783642560460:ONLINE Show nearby items on shelf
Title:Monte Carlo and Quasi-Monte Carlo Methods 2000 Proceedings of a Conference held at Hong Kong Baptist University, Hong Kong SAR, China, November 27 – December 1, 2000
Author(s):
Date:2002
Size:1 online resource (548 p.)
Note:10.1007/978-3-642-56046-0
Contents:Large Deviations in Rare Events Simulation: Examples, Counterexamples and Alternatives -- Some Applications of Quasi-Monte Carlo Methods in Statistics -- Some New Perspectives on the Method of Control Variates -- Optimal Summation and
Integration by Deterministic, Randomized, and Quantum Algorithms -- Quasirandom Walk Methods -- Recent Advances in the Theory of Nonlinear Pseudorandom Number Generators -- QMC Integration — Beating Intractability by Weighting the
Coordinate Directions -- Quasi-Monte Carlo — Discrepancy between Theory and Practice -- Efficient Monte Carlo Simulation Methods in Statistical Physics -- An Historical Overview of Lattice Point Sets -- Multicanonical Monte Carlo
Simulations -- Pricing American Derivatives using Simulation: A Biased Low Approach -- Fast Evaluation of the Asian Basket Option by Singular Value Decomposition -- Relationships Between Uniformity, Aberration and Correlation in
Regular Fractions 3s-1 -- Uniformity in Fractional Factorials -- Another Random Scrambling of Digital (t, s)-Sequences -- Fast Generation of Randomized Low-Discrepancy Point Sets -- Obtaining O(N-2+?) Convergence for Lattice Quadrature
Rules -- Efficient Bidirectional Path Tracing by Randomized Quasi-Monte Carlo Integration -- Residual Versus Error in Transport Problems -- Construction of Equidistributed Generators Based on Linear Recurrences Modulo 2 --
Quasi-Regression and the Relative Importance of the ANOVA Components of a Function -- Variants of Transformed Density Rejection and Correlation Induction -- Using Discrepancy to Evaluate Fractional Factorial Designs -- A Parallel
Quasi-Monte Carlo Method for Computing Extremal Eigenvalues -- A Nonempirical Test on the Weight of Pseudorandom Number Generators -- A Kronecker Product Construction for Digital Nets -- Parallel Quasi-Monte Carlo Methods on a
Heterogeneous Cluster -- American Option Pricing: A Classification-Monte Carlo (CMC) Approach -- A Software Implementation of Niederreiter-Xing Sequences -- Average Case Complexity of Weighted Integration and Approximation over IRd
with Isotropic Weight -- Using MCMC for Logistic Regression Model Selection Involving Large Number of Candidate Models -- Quasi-Monte Carlo Methods in Designs of Spatial Sampling Points -- Improving the Efficiency of the Two-stage
Shrinkage Estimators Using Bootstrap Methods -- Tractability of Approximation and Integration for Weighted Tensor Product Problems over Unbounded Domains -- D-optimal Designs Based on Elementary Intervals for b-adic Haar Wavelet
Regression Models -- On the Monte-Carlo Simulation of Several Regression Estimators in Nonlinear Time Series
ISBN:9783642560460
Series:eBooks
Series:SpringerLink (Online service)
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Keywords: Mathematics , Computer mathematics , Number theory , Probabilities , Statistics , Mathematics , Number Theory , Probability Theory and Stochastic Processes , Computational Mathematics and Numerical Analysis , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2002-9783034881951:ONLINE Show nearby items on shelf
Title:Foundations of Statistical Analyses and Applications with SAS
Author(s): Michael Falk
Date:2002
Size:1 online resource (402 p.)
Note:10.1007/978-3-0348-8195-1
Contents:1. Elements of Exploratory Data Analysis -- 2. Some Mathematical Statistics for the Normal Distribution -- 3. Regression Analysis -- 4. Categorical Data Analysis -- 5. Analysis of Variance -- 6. Discriminant Analysis -- 7. Cluster
Analysis -- 8. Principal Components -- Appendix: A Brief Introduction to SAS -- A.1 Preface -- A.1.1 SAS—Modules -- A.1.2 Different Modes with SAS -- A.2 Fundamentals of SAS Programming -- A.2.1 The Display Manager System -- A.2.2 DATA
and PROC Steps -- A.2.3 Some Basic SAS Statements -- A.2.4 Programming in a DATA Step -- A.3 Some SAS Procedures -- A.3.1 PROC MEANS -- A.3.2 PROC GPLOT -- A.3.3 PROC IML -- Data Index
ISBN:9783034881951
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics, general , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2002-9780387227085:ONLINE Show nearby items on shelf
Title:The Basics of S-(scPlus)
Author(s):
Date:2002
Size:1 online resource (420 p.)
Note:10.1007/b98844
Contents:Graphical User Interface -- A First Session -- A Second Session -- Graphics -- Trellis Graphics -- Exploring Data -- Statistical Modeling -- Programming -- Object-Oriented Programming -- Input and Output -- S-(scPlus) Internals --
Tips and Tricks -- Information Sources on and Around S-(scPlus) -- R
ISBN:9780387227085
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2002-9780387226323:ONLINE Show nearby items on shelf
Title:Introductory Statistics with R
Author(s): Peter Dalgaard
Date:2002
Size:1 online resource (267 p.)
Note:10.1007/b97671
Contents:Basics -- Probability and distributions -- Descriptive statistics and graphics -- One- and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal-Wallis test -- Tabular data -- Power and the computation
of sample size -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis
ISBN:9780387226323
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Bioinformatics , Computational biology , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics and Computing/Statistics Programs , Bioinformatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-2002-9780387217062:ONLINE Show nearby items on shelf
Title:Modern Applied Statistics with S
Author(s): W. N Venables
Date:2002
Edition:Fourth Edition
Size:1 online resource (498 p.)
Note:10.1007/978-0-387-21706-2
Contents:1 Introduction -- 1.1 A Quick Overview of S -- 1.2 Using S -- 1.3 An Introductory Session -- 1.4 What Next? -- 2 Data Manipulation -- 2.1 Objects -- 2.2 Connections -- 2.3 Data Manipulation -- 2.4 Tables and Cross-Classification -- 3
The S Language -- 3.1 Language Layout -- 3.2 More on S Objects -- 3.3 Arithmetical Expressions -- 3.4 Character Vector Operations -- 3.5 Formatting and Printing -- 3.6 Calling Conventions for Functions -- 3.7 Model Formulae -- 3.8
Control Structures -- 3.9 Array and Matrix Operations -- 3.10 Introduction to Classes and Methods -- 4 Graphics -- 4.1 Graphics Devices -- 4.2 Basic Plotting Functions -- 4.3 Enhancing Plots -- 4.4 Fine Control of Graphics -- 4.5
Trellis Graphics -- 5 Univariate Statistics -- 5.1 Probability Distributions -- 5.2 Generating Random Data -- 5.3 Data Summaries -- 5.4 Classical Univariate Statistics -- 5.5 Robust Summaries -- 5.6 Density Estimation -- 5.7 Bootstrap
and Permutation Methods -- 6 Linear Statistical Models -- 6.1 An Analysis of Covariance Example -- 6.2 Model Formulae and Model Matrices -- 6.3 Regression Diagnostics -- 6.4 Safe Prediction -- 6.5 Robust and Resistant Regression -- 6.6
Bootstrapping Linear Models -- 6.7 Factorial Designs and Designed Experiments -- 6.8 An Unbalanced Four-Way Layout -- 6.9 Predicting Computer Performance -- 6.10 Multiple Comparisons -- 7 Generalized Linear Models -- 7.1 Functions for
Generalized Linear Modelling -- 7.2 Binomial Data -- 7.3 Poisson and Multinomial Models -- 7.4 A Negative Binomial Family -- 7.5 Over-Dispersion in Binomial and Poisson GLMs -- 8 Non-Linear and Smooth Regression -- 8.1 An Introductory
Example -- 8.2 Fitting Non-Linear Regression Models -- 8.3 Non-Linear Fitted Model Objects and Method Functions -- 8.4 Confidence Intervals for Parameters -- 8.5 Profiles -- 8.6 Constrained Non-Linear Regression -- 8.7 One-Dimensional
Curve-Fitting -- 8.8 Additive Models -- 8.9 Projection-Pursuit Regression -- 8.10 Neural Networks -- 8.11 Conclusions -- 9 Tree-Based Methods -- 9.1 Partitioning Methods -- 9.2 Implementation in rpart -- 9.3 Implementation in tree --
10 Random and Mixed Effects -- 10.1 Linear Models -- 10.2 Classic Nested Designs -- 10.3 Non-Linear Mixed Effects Models -- 10.4 Generalized Linear Mixed Models -- 10.5 GEE Models -- 11 Exploratory Multivariate Analysis -- 11.1
Visualization Methods -- 11.2 Cluster Analysis -- 11.3 Factor Analysis -- 11.4 Discrete Multivariate Analysis -- 12 Classification -- 12.1 Discriminant Analysis -- 12.2 Classification Theory -- 12.3 Non-Parametric Rules -- 12.4 Neural
Networks -- 12.5 Support Vector Machines -- 12.6 Forensic Glass Example -- 12.7 Calibration Plots -- 13 Survival Analysis -- 13.1 Estimators of Survivor Curves -- 13.2 Parametric Models -- 13.3 Cox Proportional Hazards Model -- 13.4
Further Examples -- 14 Time Series Analysis -- 14.1 Second-Order Summaries -- 14.2 ARIMA Models -- 14.3 Seasonality -- 14.4 Nottingham Temperature Data -- 14.5 Regression with Autocorrelated Errors -- 14.6 Models for Financial Series
-- 15 Spatial Statistics -- 15.1 Spatial Interpolation and Smoothing -- 15.2 Kriging -- 15.3 Point Process Analysis -- 16 Optimization -- 16.1 Univariate Functions -- 16.2 Special-Purpose Optimization Functions -- 16.3 General
Optimization -- Appendices -- A Implementation-Specific Details -- A.1 Using S-PLUS under Unix / Linux -- A.2 Using S-PLUS under Windows -- A.3 Using R under Unix / Linux -- A.4 Using R under Windows -- A.5 For Emacs Users -- B The
S-PLUS GUI -- C Datasets, Software and Libraries -- C.1 Our Software -- C.2 Using Libraries -- References
ISBN:9780387217062
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer mathematics , Computer software , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Computational Mathematics and Numerical Analysis , Mathematical Software , Statistics and Computing/Statistics Programs , Statistical Theory and Methods
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Call number:SPRINGER-2002-9780387216119:ONLINE Show nearby items on shelf
Title:Elements of Computational Statistics
Author(s): James E Gentle
Date:2002
Size:1 online resource (420 p.)
Note:10.1007/b97337
Contents:Methods of Computational Statistics -- Preliminaries -- Monte Carlo Methods for Inference -- Randomization and Data Partitioning -- Bootstrap Methods -- Tools for Identification of Structure in Data -- Estimation of Functions --
Graphical Methods in Computational Statistics -- Data Density and Structure -- Estimation of Probability Density Functions Using Parametric Models -- Nonparametric Estimation of Probability Density Functions -- Structure in Data --
Statistical Models of Dependencies
ISBN:9780387216119
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2001-9781475734621:ONLINE Show nearby items on shelf
Title:Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis
Author(s): Frank E Harrell
Date:2001
Size:1 online resource (572 p.)
Note:10.1007/978-1-4757-3462-1
Contents:1 Introduction -- 2 General Aspects of Fitting Regression Models -- 3 Missing Data -- 4 Multivariable Modeling Strategies -- 5 Resampling, Validating, Describing, and Simplifying the Model -- 6 S-Plus Software -- 7 Case Study in Least
Squares Fitting and Interpretation of a Linear Model -- 8 Case Study in Imputation and Data Reduction -- 9 Overview of Maximum Likelihood Estimation -- 10 Binary Logistic Regression -- 11 Logistic Model Case Study 1: Predicting Cause
of Death -- 12 Logistic Model Case Study 2: Survival of Titanic Passengers -- 13 Ordinal Logistic Regression -- 14 Case Study in Ordinal Regression, Data Reduction, and Penalization -- 15 Models Using Nonparametric Transformations of X
and Y -- 16 Introduction to Survival Analysis -- 17 Parametric Survival Models -- 18 Case Study in Parametric Survival Modeling and Model Approximation -- 19 Cox Proportional Hazards Regression Model -- 20 Case Study in Cox Regression
ISBN:9781475734621
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2001-9781475732856:ONLINE Show nearby items on shelf
Title:Analyzing Medical Data Using S-PLUS
Author(s): Brian Everitt
Date:2001
Size:1 online resource (486 p.)
Note:10.1007/978-1-4757-3285-6
Contents:Prologue -- 1 An Introduction to S-PLUS -- 2 Describing Data -- 3 Basic Inference -- 4 Scatterplots, Simple Regression and Smoothing -- 5 Analysis of Variance and Covariance -- 6 The Analysis of Longitudinal Data -- 7 More Graphics --
8 Multiple Linear Regression -- 9 Generalized Linear Models I: Logistic Regression -- 10 Generalised linear models II: Poisson regression -- 11 Linear Mixed Models I -- 12 Linear Mixed Models II -- 13 Generalized Additive Models -- 14
Nonlinear models -- 15 Regression Trees -- 16 Survival Analysis I -- 17 Survival Analysis II: Cox’s Regression -- 18 Principal Components and Factor Analysis -- 19 Cluster Analysis -- 20 Discriminant Function Analysis -- A The S-Plus
Gui -- A.1 Introduction -- A.2 Statistical analysis using dialogue boxes -- A.3 Graphics using the GUI -- B Answers to selected exercises -- References
ISBN:9781475732856
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Application software , Biomathematics , Statistics , Computer Science , Computer Applications , Statistics for Life Sciences, Medicine, Health Sciences , Statistics and Computing/Statistics Programs , Physiological, Cellular and Medical Topics
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Call number:SPRINGER-2000-9783642602320:ONLINE Show nearby items on shelf
Title:XploRe — Learning Guide
Author(s): Wolfgang Härdle
Date:2000
Size:1 online resource (526 p.)
Note:10.1007/978-3-642-60232-0
Contents:I: First Steps -- 1 Getting Started -- 2. Descriptive Statistics -- 3 Graphics -- 4 Regression Methods -- 5 Teachware Quantlets -- II: Statistical Libraries -- 6 Smoothing Methods -- 7 Generalized Linear Models -- 8 Neural Networks --
9 Time Series -- 10 Kalman Filtering -- 11 Finance -- 12 Microeconometrics and Panel Data -- 13 Extreme Value Analysis -- 14 Wavelets -- III: Programming -- 15 Reading and Writing Data -- 16 Matrix Handling -- 17 Quantlets and
Quantlibs
ISBN:9783642602320
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2000-9783642576782:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000
Author(s):
Date:2000
Size:1 online resource (540 p.)
Note:10.1007/978-3-642-57678-2
Contents:Keynote papers -- The broad role of multiple imputation in statistical science -- Official Statistics: an estimation strategy for the IT-era -- Invited papers -- Bayesian model selection methods for nonnested models -- Spatio-temporal
hierarchical modeling of an infectious disease from (simulated) count data -- GBMs: GLMs with bilinear terms -- Generalized calibration and application to weighting for non-response -- Methodological issues in data mining -- Practical
data mining in a large utility company -- HGLMs for analysis of correlated non-normal data -- Bootstrapping impulse responses in VAR analyses -- An application of TRAMO-SEATS model selection and out-of-sample performance. The Swiss CPI
series -- Spreadsheets as tools for statistical computing and statistics education -- An algorithm for deepest multiple regression -- Non-proportional hazards models in survival analysis -- A spatio-temporal analysis of a field trial
-- Contributed papers -- Principal component logistic regression -- Sieve bootstrap prediction intervals -- Clustering by maximizing a fuzzy classification maximum likelihood criterion -- Tree-based algorithms for missing data
imputation -- MiPy: a system for generating multiple imputations -- A linear approximation to the wild bootstrap in specification testing -- The size of the largest nonidentifiable outlier as a performance criterion for multivariate
outlier identification: the case of high-dimensional data -- The influence of data generation and imputation methods on the bias of factor analysis of rating scale data -- Model on a population and prediction on another one: a
generalized discriminant rule -- Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments -- An MLE strategy for combining optimally pruned decision trees -- Semi-parametric models for data
mining -- Preliminary estimation of ARFIMA models -- A collection of applets for visualizing statistical concepts -- Non-parametric regression and density estimation under control of modality -- Multivariate approaches for aggregate
time series -- Some space-time models: an application to NO2 pollution in an urban area -- SLICE: generalised software for statistical data editing and imputation -- Improved PCB inspection: computational issues -- Optimization of the
antithetic Gibbs sampler for Gaussian Markov random fields -- Computing zonoid trimmed regions of bivariate data sets -- Outlier resistant estimators for canonical correlation analysis -- Graphical and phase space models for univariate
time series -- The use of the Tweedie distribution in statistical modelling -- Predictive dimension: an alternative defmition to embedding dimension -- Post-stratification to correct for nonresponse: classification of ZIP code areas --
Approximate Bayesian inference for simple mixtures -- Correlated INAR(1) process -- Confidence regions for stabilized multivariate tests -- Comparison of stationary time series using distribution-free methods -- Generation of Boolean
classification rules -- A statistical package based on Pnuts -- Generalized regression trees -- Generalized linear mixed models: an improved estimating procedure -- The stochastic dimension in a dynamic GIS -- A robust version of
principal factor analysis -- TESS: system for automatic seasonal adjustment and forecasting of time series -- The BADAME project -- Improving Statistics Canada’s cell suppression software (CONFID) -- The multimedia project MM*STAT for
teaching statistics -- Projection pursuit approach to robust canonical correlation analysis -- A fast algorithm for highly robust regression in data mining -- Optimal classification trees -- GAM spline algorithms: a direct comparison
-- Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models -- Robust Bayesian classification -- Social science measurement by means of item response models -- Multivariate DLMs for forecasting
financial time series, with application to the management of portfolios -- An algorithm for the multivariate Tukey median -- Analyzing and synthesizing information from a multiple-study database -- Bootstrapping neural discriminant
model -- An improved algorithm for robust PCA -- Applying techniques of dynamic programming to sequential mastery testing -- The introduction of formal structure into the processing of statistical summary data -- Validation of
association rules by interactive mosaic plots -- Optimality models for PRAM -- Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations -- Testing for differences in location: a
comparison of bootstrap methods in the small sample case -- Two principal points for location mixtures -- Vector splines and other vector smoothers -- Index of authors -- Index of keywords
ISBN:9783642576782
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics and Computing/Statistics Programs , IT in Business
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Call number:SPRINGER-2000-9783642572920:ONLINE Show nearby items on shelf
Title:XploRe® — Application Guide
Author(s): Wolfgang Härdle
Date:2000
Size:1 online resource (525 p.)
Note:10.1007/978-3-642-57292-0
Contents:I Regression Models -- 1 Quantile Regression -- 2 Least Trimmed Squares -- 3 Errors-in-Variables Models -- 4 Simultaneuos-Equations Models -- 5 Hazard Regression -- 6 Generalized Partial Linear Models -- 7 Generalized Additive Models
-- II Data Exploration -- 8 Growth Regression and Counterfactual Income Dynamics -- 9 Cluster Analysis -- 10 Classification and Regression Trees -- 11 DPLS: Partial Least Squares Program -- 12 Uncovered Interest Parity -- 13
Correspondence Analysis -- III Dynamic Statistical Systems -- 14 Long-Memory Analysis -- 15 ExploRing Persistence in Financial Time Series -- 16 Flexible Time Series Analysis -- 17 Multiple Time Series Analysis -- 18 Robust Kalman
Filtering
ISBN:9783642572920
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Finance , Economic theory , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics and Computing/Statistics Programs , Economic Theory/Quantitative Economics/Mathematical Methods , Finance, general
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Call number:SPRINGER-2000-9781461212768:ONLINE Show nearby items on shelf
Title:Monte Carlo Methods in Bayesian Computation
Author(s): Ming-Hui Chen
Date:2000
Size:1 online resource (387 p.)
Note:10.1007/978-1-4612-1276-8
Contents:1 Introduction -- 1.1 Aims -- 1.2 Outline -- 1.3 Motivating Examples -- 1.4 The Bayesian Paradigm -- Exercises -- 2 Markov Chain Monte Carlo Sampling -- 2.1 Gibbs Sampler -- 2.2 Metropolis-Hastings Algorithm -- 2.3 Hit-and-Run
Algorithm -- 2.4 Multiple-Try Metropolis Algorithm -- 2.5 Grouping, Collapsing, and Reparameterizations -- 2.6 Acceleration Algorithms for MCMC Sampling -- 2.7 Dynamic Weighting Algorithm -- 2.8 Toward “Black-Box” Sampling -- 2.9
Convergence Diagnostics -- Exercises -- 3 Basic Monte Carlo Methods for Estimating Posterior Quantities -- 3.1 Posterior Quantities -- 3.2 Basic Monte Carlo Methods -- 3.3 Simulation Standard Error Estimation -- 3.4 Improving Monte
Carlo Estimates -- 3.5 Controlling Simulation Errors -- Exercises -- 4 Estimating Marginal Posterior Densities -- 4.1 Marginal Posterior Densities -- 4.2 Kernel Methods -- 4.3 IWMDE Methods -- 4.4 Illustrative Examples -- 4.5
Performance Study Using the Kullback-Leibler Divergence -- Exercises -- 5 Estimating Ratios of Normalizing Constants -- 5.1 Introduction -- 5.2 Importance Sampling -- 5.3 Bridge Sampling -- 5.4 Path Sampling -- 5.5 Ratio Importance
Sampling -- 5.6 A Theoretical Illustration -- 5.7 Computing Simulation Standard Errors -- 5.8 Extensions to Densities with Different Dimensions -- 5.9 Estimation of Normalizing Constants After Transformation -- 5.10 Other Methods --
5.11 An Application of Weighted Monte Carlo Estimators -- 5.12 Discussion -- Exercises -- 6 Monte Carlo Methods for Constrained Parameter Problems -- 6.1 Constrained Parameter Problems -- 6.2 Posterior Moments and Marginal Posterior
Densities -- 6.3 Computing Normalizing Constants for Bayesian Estimation -- 6.4 Applications -- 6.5 Discussion -- Exercises -- 7 Computing Bayesian Credible and HPD Intervals -- 7.1 Bayesian Credible and HPD Intervals -- 7.2 Estimating
Bayesian Credible Intervals -- 7.3 Estimating Bayesian HPD Intervals -- 7.4 Extension to the Constrained Parameter Problems -- 7.5 Numerical Illustration -- 7.6 Discussion -- Exercises -- 8 Bayesian Approaches for Comparing Nonnested
Models -- 8.1 Marginal Likelihood Approaches -- 8.2 Scale Mixtures of Multivariate Normal Link Models -- 8.3 “Super-Model” or “Sub-Model” Approaches -- 8.4 Criterion-Based Methods -- 9 Bayesian Variable Selection -- 9.1 Variable
Selection for Logistic Regression Models -- 9.2 Variable Selection for Time Series Count Data Models -- 9.3 Stochastic Search Variable Selection -- 9.4 Bayesian Model Averaging -- 9.5 Reversible Jump MCMC Algorithm for Variable
Selection -- Exercises -- 10 Other Topics -- 10.1 Bayesian Model Adequacy -- 10.2 Computing Posterior Modes -- 10.3 Bayesian Computation for Proportional Hazards Models -- 10.4 Posterior Sampling for Mixture of Dirichlet Process Models
-- Exercises -- References -- Author Index
ISBN:9781461212768
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2000-9780387227474:ONLINE Show nearby items on shelf
Title:Mixed-Effects Models in S and S-PLUS
Author(s): José C Pinheiro
Date:2000
Size:1 online resource (528 p.)
Note:10.1007/b98882
Contents:Linear Mixed-Effects Models -- Linear Mixed-Effects Models: Basic Concepts and Examples -- Theory and Computational Methods for Linear Mixed-Effects Models -- Describing the Structure of Grouped Data -- Fitting Linear Mixed-Effects
Models -- Extending the Basic Linear Mixed-Effects Model -- Nonlinear Mixed-Effects Models -- Nonlinear Mixed-effects Models: Basic Concepts and Motivating Examples -- Theory and Computational Methods for Nonlinear Mixed-Effects Models
-- Fitting Nonlinear Mixed-Effects Models
ISBN:9780387227474
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Programming languages (Electronic computers) , Database management , Statistics , Computer Science , Database Management , Programming Languages, Compilers, Interpreters , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2000-9780387227092:ONLINE Show nearby items on shelf
Title:The Basics of S and S-Plus
Author(s): Andreas Krause
Date:2000
Edition:Second Edition
Size:1 online resource (382 p.)
Note:10.1007/b98847
Contents:Windows User Interface -- A First Session -- A Second Session -- Graphics -- Trellis Graphics -- Exploring Data -- Statistical Modeling -- Programming -- Object-Oriented Programming -- Input and Output -- S-Plus Internals -- Tips and
Tricks -- Information Sources on and Around S-Plus
ISBN:9780387227092
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-2000-9780387218564:ONLINE Show nearby items on shelf
Title:S Programming
Author(s): W. N Venables
Date:2000
Size:1 online resource (265 p.)
Note:10.1007/978-0-387-21856-4
Contents:1 Introduction -- 2 The S Language: Syntax and Semantics -- 3 The S Language: Advanced Aspects -- 4 Classes -- 5 New-style Classes -- 6 Using Compiled Code -- 7 General Strategies and Extended Examples -- 8 S Software Development -- 9
Interfaces under Windows -- Appendices -- A Compiling and Loading Code -- A.1 Procedures with S-PLUS -- A.2 Procedures with R -- A.3 Common concerns -- A.4 Writing Dynamic Link Libraries for Windows -- B The Interactive Environment --
B.1 History and audit trails -- B.2 Options -- B.3 Session startup and finishing functions -- C BATCH Operation -- C.1 S-PLUS -- C.2 R -- References
ISBN:9780387218564
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1999-9781475731217:ONLINE Show nearby items on shelf
Title:Modern Applied Statistics with S-PLUS
Author(s): W. N Venables
Date:1999
Edition:Third Edition
Size:1 online resource (501 p.)
Note:10.1007/978-1-4757-3121-7
Contents:1 Introduction -- 2 The S Language -- 3 Graphics -- 4 Programming in S -- 5 Univariate Statistics -- 6 Linear Statistical Models -- 7 Generalized Linear Models -- 8 Non-linear Models -- 9 Smooth Regression -- 10 Tree-based Methods --
11 Multivariate Analysis and Pattern Recognition -- 12 Survival Analysis -- 13 Time Series Analysis -- 14 Spatial Statistics -- Appendices -- A Getting Started -- A.1 Using S-PLUS under UNIX -- A.2 Using S-PLUS under Windows -- A.3
Customizing your S-PLUS environment -- B The GUI in Version 4.x -- B.1 Subwindows -- B.2 Graphics in the GUI -- C Datasets, Software and Libraries -- C.1 Our libraries -- C.2 Using libraries -- References
ISBN:9781475731217
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1999-9781475731002:ONLINE Show nearby items on shelf
Title:The Grammar of Graphics
Author(s): Leland Wilkinson
Date:1999
Size:1 online resource (408 p.)
Note:10.1007/978-1-4757-3100-2
Contents:1 Introduction -- 2 How to Make a Pie -- 3 Data -- 4 Variables -- 5 Algebra -- 6 Geometry -- 7 Aesthetics -- 8 Statistics -- 9 Scales -- 10 Coordinates -- 11 Facets -- 12 Guides -- 13 Graphboard -- 14 Reader -- 15 Semantics --
References -- Author Index
ISBN:9781475731002
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Mathematics , Visualization , Statistics , Statistics and Computing/Statistics Programs , Visualization
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Call number:SPRINGER-1999-9781475730906:ONLINE Show nearby items on shelf
Title:Using SPSS for Windows Data Analysis and Graphics
Author(s): Kristin E Voelkl
Date:1999
Size:1 online resource (228 p.)
Note:10.1007/978-1-4757-3090-6
Contents:1—The Nature of SPSS -- 2—Organization of Data -- 3—Measures of Location -- 4—Measures of Variability -- 5—Summarizing Multivariate Data: Association Between Numerical Variables -- 6—Summarizing Multivariate Data: Association Between
Categorical Variables -- 7—Basic Ideas of Probability -- 8—Probability Distributions -- 9—Sampling Distributions -- 10—Using a Sample to Estimate Characteristics of One Population -- 11—Answering Questions About Population
Characteristics -- 12—Differences Between Two Populations -- 13—Variability in One Population and in Two Populations -- 14—Inference on Categorical Data -- 15—Regression Analysis -- 16—Comparisons of Several Populations --
Appendix—Data Files
ISBN:9781475730906
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs , Statistics for Social Science, Behavorial Science, Education, Public Policy, and , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-1999-9780387227320:ONLINE Show nearby items on shelf
Title:Local Regression and Likelihood
Author(s): Clive Loader
Date:1999
Size:1 online resource (290 p.)
Note:10.1007/b98858
Contents:The Origins of Local Regression -- Local Regression Methods -- Fitting with LOCFIT -- Local Likelihood Estimation -- Density Estimation -- Flexible Local Regression -- Survival and Failure Time Analysis -- Discrimination and
Classification -- Variance Estimation and Goodness of Fit -- Bandwidth Selection -- Adaptive Parameter Choice -- Computational Methods -- Optimizing Local Regression
ISBN:9780387227320
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Economics, Mathematical , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics and Computing/Statistics Programs , Statistics for Business/Economics/Mathematical Finance/Insurance , Quantitative Finance
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Call number:SPRINGER-1998-9783662011317:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics 13th Symposium held in Bristol, Great Britain, 1998
Author(s):
Date:1998
Size:1 online resource (501 p.)
Note:10.1007/978-3-662-01131-7
Contents:Keynote Papers -- Analysis of Clustered Multivariate Data from Developmental Toxicity Studies -- Wavelets in Statistics: Some Recent Developments -- Invited Papers -- Mortality Pattern Prediction in Worker Cohorts -- Design Algorithms
for Correlated Data -- (Co)Variance Structures for Linear Models in the Analysis of Plant Improvement Data -- Optimal Scaling Methods for Graphical Display of Multivariate Data -- Computer-Assisted Statistics Teaching in Network
Environments -- Modelling Bacterial Genomes Using Hidden Markov Models -- MCMC Specifics for Latent Variable Models -- Exploratory Versus Decision Trees -- Exploring Time Series Using Semi- and Nonparametric Methods -- Time Series
Forecasting by Principal Component Methods -- Contributed Papers -- A Simulation Study of Indirect Prognostic Classification -- Model Search: An Overview -- Speeding up the Computation of the Least Quartile Difference Estimator --
Piece-wise Detection of Spinal Scoliosis -- A Comparison of Recent EM Accelerators within Item Response Theory -- Gröbner Basis Methods in Polynomial Modelling -- Analysis of High Dimensional Data from Intensive Care Medicine --
Fitting Non-Gaussian Time Series Models -- Using Singular Value Decomposition in Non-Linear Regression -- A Modelling Approach for Bandwidth Selection in Kernel Density Estimation -- A New Method for Cross-Classification Analysis of
Contingency Data Tables -- Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring -- An Alternative Pruning Method Based on the Impurity-Complexity Measure -- Bayesian Inference for Mixture: The Label
Switching Problem -- Simulation of Multifractional Brownian Motion -- Simulating Categorical Data from Spatial Models -- Robust Factorization of a Data Matrix -- Spatial Clustering Techniques: An Experimental Comparison -- A Visual
Environment for Designing Experiments -- Essay of a Dynamic Regression by Principal Components Model for Correlated Time Series -- Traffic Models for Telecommunication -- Construction of Non-Standard Row-Column Designs -- Computational
Statistics for Pharmacokinetic Data Analysis -- Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children Using BASSIST -- Algorithms for Robustified Error-in-Variables Problems -- Idaresa — a Tool for
Construction, Description and Use of Harmonised Datasets from National Surveys -- LLAMA: an Object-Oriented System for Log Multiplicative Models -- Using Threshold Accepting to Improve the Computation of Censored Quantile Regression --
On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm -- Parameter Estimators for Gaussian Models with Censored Time Series and Spatio-Temporal Data -- Assessing the Multimodality of a Multivariate
Distribution Using Nonparametric Techniques -- Bayesian Signal Restoration and Model Determination for Ion Channels -- ARGUS, Software Packages for Statistical Disclosure Control -- Building End-User Statistical Applications: An
Example Using STABLE -- On Multiple Window Local Polynomial Approximation with Varying Adaptive Bandwidths -- Minimization of Computational Cost in Tree-Based Methods by a Proper Ordering of Splits -- Stable Multivariate Procedures —
Strategies and Software Tools -- An Alternating Method to Optimally Transform Variables in Projection Pursuit Regression -- Predicting from Unbalanced Linear or Generalized Linear Models -- MCMC Solution to Circle Fitting in Analysis
of RICH Detector Data -- A Visual Future for Statistical Computing -- Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods -- Data Imputation and Nowcasting in the Environmental Sciences Using
Clustering and Connectionist Modelling -- Graphical User Interface for Statistical Software Using Internet -- A Wavelet Approach to Functional Principal Component Analysis -- Quasi-Monte Carlo EM Algorithm for MLEs in Generalized
Linear Mixed Models -- Applications of Smoothed Monotone Regression Splines and Smoothed Bootstrapping in Survival Analysis -- Comparing the Fits of Non-Nested Non-Linear Models -- The Deepest Fit -- Partially Linear Models: A New
Algorithm and some Simulation Results -- Induction of Graphical Models from Incomplete Samples -- Locally and Bayesian Optimal Designs for Binary Dose-Response Models with Various Link Functions -- Statistics Training and the Internet
-- Jointly Modelling Longitudinal and Survival Data -- Representing Solar Active Regions with Triangulations -- A General Form for Specification of Correlated Error Models, with Allowance for Heterogeneity -- Exploratory Data Analysis
with Linked Dotplots and Histograms -- An Object-Oriented Approach to Local Computation in Bayes Linear Belief Networks -- Index of Authors -- Index of Keywords
ISBN:9783662011317
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Information technology , Business , Computer science , Statistics , Statistics and Computing/Statistics Programs , Math Applications in Computer Science , IT in Business
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Call number:SPRINGER-1998-9781475729603:ONLINE Show nearby items on shelf
Title:Random Number Generation and Monte Carlo Methods
Author(s): James E Gentle
Date:1998
Size:1 online resource (247 p.)
Note:10.1007/978-1-4757-2960-3
Contents:1 Simulating Random Numbers from a Uniform Distribution -- 2 Transformations of Uniform Deviates: General Methods -- 3 Simulating Random Numbers from Specific Distributions -- 4 Generation of Random Samples and Permutations -- 5 Monte
Carlo Methods -- 6 Quality of Random Number Generators -- 7 Software for Random Number Generation -- 8 Monte Carlo Studies in Statistics -- A Notation and Definitions -- B Solutions and Hints for Selected Exercises -- Literature in
Computational Statistics -- World Wide Web, News Groups, List Servers, and Bulletin Boards -- References -- Author Index
ISBN:9781475729603
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1998-9781461206231:ONLINE Show nearby items on shelf
Title:Numerical Linear Algebra for Applications in Statistics
Author(s): James E Gentle
Date:1998
Size:1 online resource (221 p.)
Note:10.1007/978-1-4612-0623-1
Contents:1 Computer Storage and Manipulation of Data -- 1.1 Digital Representation of Numeric Data -- 1.2 Computer Operations on Numeric Data -- 1.3 Numerical Algorithms and Analysis -- Exercises -- 2 Basic Vector/Matrix Computations -- 2.1
Notation, Definitions, and Basic Properties -- 2.2 Computer Representations and Basic Operations -- Exercises -- 3 Solution of Linear Systems -- 3.1 Gaussian Elimination -- 3.2 Matrix Factorizations -- 3.3 Iterative Methods -- 3.4
Numerical Accuracy -- 3.5 Iterative Refinement -- 3.6 Updating a Solution -- 3.7 Overdetermined Systems Least Squares -- 3.8 Other Computations for Linear Systems -- Exercises -- 4 Computation of Eigenvectors and Eigenvalues and the
Singular Value Decomposition -- 4.1 Power Method -- 4.2 Jacobi Method -- 4.3 QR Method for Eigenanalysis -- 4.4 Singular Value Decomposition -- Exercises -- 5 Software for Numerical Linear Algebra -- 5.1 Fortran and C -- 5.2
Interactive Systems for Array Manipulation -- 5.3 High-Performance Software -- 5.4 Test Data -- Exercises -- 6 Applications in Statistics -- 6.1 Fitting Linear Models with Data -- 6.2 Linear Models and Least Squares -- 6.3
Ill-Conditioning in Statistical Applications -- 6.4 Testing the Rank of a Matrix -- 6.5 Stochastic Processes -- Exercises -- Appendices -- A Notation and Definitions -- B Solutions and Hints for Selected Exercises -- Literature in
Computational Statistics -- World Wide Web, News Groups, List Servers, and Bulletin Boards -- References -- Author Index
ISBN:9781461206231
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algebra , Matrix theory , Statistics , Mathematics , Algebra , Statistics and Computing/Statistics Programs , Linear and Multilinear Algebras, Matrix Theory
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Call number:SPRINGER-1996-9781475725230:ONLINE Show nearby items on shelf
Title:Statistical Tools for Nonlinear Regression A Practical Guide with S-PLUS Examples
Author(s): Sylvie Huet
Date:1996
Size:1 online resource (155 p.)
Note:10.1007/978-1-4757-2523-0
Contents:1 Nonlinear regression model and parameter estimation -- 2 Accuracy of estimators, confidence intervals and tests -- 3 Variance estimation -- 4 Diagnostics of model misspecification -- 5 Calibration and Prediction -- References
ISBN:9781475725230
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-1995-9783540316350:ONLINE Show nearby items on shelf
Title:The Deep Universe
Author(s): A. R Sandage
Date:1995
Size:1 online resource (526 p.)
Note:10.1007/3-540-31635-3
Contents:Evolution in the Galaxy Population -- Foundations of Galaxy Evolution Models -- Evolutionary Synthesis Models -- Basic Statistics of Galaxies -- Computing Models for Faint-Galaxy Samples -- Distant Galaxy Observations in the Real
World -- Galaxy Profiles at High Redshift -- Reconciling Counts with the Redshift Distribution -- The Butcher-Oemler Effect — A Case Study -- Deep-Universe Programs for the Future -- to the Standard Model -- The Physics of Background
Radiation -- Observations of the Extragalactic Background Radiation -- The Robertson-Walker Metric -- World Models -- Number Counts and the Background Radiation -- The Origin of the X-ray and Gamma-ray Backgrounds -- A Brief Thermal
History of the Universe -- The Origin of the Large-Scale Structure of the Universe -- Dark Matter and Galaxy Formation -- Fluctuations in the Cosmic Microwave Background Radiation -- The Intergalactic Gas -- Galaxy Formation and the
Background Radiation -- The First Test: The Count—Magnitude Relation: Theory and Practice I (The Early Phase 1920–1938) -- The Count—Magnitude Relation: Theory and Practice II (The Modern Attempts) -- The Second Test: Angular Size =
f(z,q0) -- The Third Test: The Redshift—Distance Relation Based on the m(z, qo) Hubble Diagram -- Is the Expansion Real? -- The Fourth Test: Timing (Age of the Galaxy) -- Timing Test Continued -- The Hubble Constant from Type Ia
Supernovae -- Observational Selection Bias
ISBN:9783540316350
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Saas-Fee Advanced Courses, Lecture Notes 1993: 23
Keywords: Physics , Geophysics , Observations, Astronomical , Astronomy , Astrophysics , Elementary particles (Physics) , Quantum field theory , Physics , Astronomy, Observations and Techniques , Astrophysics and Astroparticles , Geophysics/Geodesy , Elementary Particles, Quantum Field Theory
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Call number:SPRINGER-1994-9789401735155:ONLINE Show nearby items on shelf
Title:Theory of U-Statistics
Author(s): V. S Koroljuk
Date:1994
Size:1 online resource (554 p.)
Note:10.1007/978-94-017-3515-5
Contents:1. Basic Definitions and Notions -- 2. General Inequalities -- 3. The Law of Large Numbers -- 4. Weak Convergence -- 5. Functional Limit Theorems -- 6. Approximation in Limit Theorems -- 7. Asymptotic Expansions -- 8. Probabilities of
Large Deviations -- 9. The Law of Iterated Logarithm -- 10. Dependent Variables -- Historical and bibliographical notes -- References
ISBN:9789401735155
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics and Its Applications : 273
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1994-9781461226765:ONLINE Show nearby items on shelf
Title:ITSM for Windows A User’s Guide to Time Series Modelling and Forecasting
Author(s): Peter J Brockwell
Date:1994
Size:1 online resource (118 p.)
Note:10.1007/978-1-4612-2676-5
Contents:1 Introduction -- 1.1 The Programs -- 1.2 System Requirements -- 1.3 Creating Data Files -- 2 PEST -- 2.1 Getting Started -- 2.2 Preparing Your Data for Modelling -- 2.3 Finding a Model for Your Data -- 2.4 Testing Your Model -- 2.5
Prediction -- 2.6 Model Properties -- 2.7 Nonparametric Spectral Estimation -- 3 SMOOTH -- 3.1 Introduction -- 3.2 Moving Average Smoothing -- 3.3 Exponential Smoothing -- 3.4 Removing High Frequency Components -- 4 SPEC -- 4.1
Introduction -- 4.2 Bivariate Spectral Analysis -- 5 TRANS -- 5.1 Introduction -- 5.2 Computing Cross Correlations -- 5.3 An Overview of Transfer Function Modelling -- 5.4 Fitting a Preliminary Transfer Function Model -- 5.5
Calculating Residuals from a Transfer Function Model -- 5.6 LS Estimation and Prediction with Transfer Function Models -- 6 ARVEC -- 6.1 Introduction -- 6.2 Model Selection with the AICC Criterion -- 6.3 Forecasting with the Fitted
Model -- 7 BURG -- 7.1 Introduction -- 8 ARAR -- 8.1 Introduction -- 8.2 Running the Program -- 9 LONGMEM -- 9.1 Introduction -- 9.2 Parameter Estimation -- 9.3 Prediction -- 9.4 Simulation -- 9.5 Plotting the Model and Sample ACVF --
Appendix A: The Screen Editor WORD6 -- A.1 Basic Editing -- A.2 Alternate Keys -- A.3 Printing a File -- A.4 Merging Two or More Files -- A.5 Margins and Left and Centre Justification -- A.6 Tab Settings -- A.7 Block Commands -- A.8
Searching -- A.9 Special Characters -- A.10 Function Keys -- A. 11 Editing Information -- Appendix B: Data Sets
ISBN:9781461226765
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Computer simulation , Statistics , Statistics and Computing/Statistics Programs , Simulation and Modeling
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Call number:SPRINGER-1986-9783642468902:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics, 7th Symposium held in Rome 1986
Author(s):
Date:1986
Size:1 online resource (513 p.)
Note:10.1007/978-3-642-46890-2
Contents:1. Information Science and Statistics -- Information Science and Statistics -- Catastrophe Theory as a Tool for Statistical Analysis of Systems -- New Procedures for Generating Optimal Experimental Designs -- 2. Probabilistic Models
in Exploratory Data Analysis -- Some Guidelines for Principal Component Analysis -- Comparison of Least Squares with Least Absolute Deviation Forecasting Using Simulation Techniques -- Modeling the Reliability of Fault-Tolerant
Software Systems -- Computerized Exploratory Screening of Large-Dimensional Contingency Tables -- A Fast Algorithm for Some Exploratory Methods in Categorical Data Problems -- Easy to Generate Metrics for Use with Sampled Functions --
3. Computational Approach of Inference -- Sequential Inference Processes in Computational Aspects -- Variance Components as a Method for Routine Regression Analysis of Survey Data -- On the Assessment of Case Influence in Generalized
Linear Models -- 4. Numerical Aspects of Statistical Computations -- Algoritmic Development in Variable Selection Procedures -- Linear Models of Categorical Variables -- A Fast Algorithm for Curve Fitting -- Generalized Multiplicative
Models -- A Convenient Way of Computing ML-Estimates: Use of Automatic Differentiation -- On the Numerical Solutions of Bounded Influence Regression Problems -- Testing of Statistical Algorithms and Programs with the Help of the
Multivariate Sample, Having Described Values of Empirical Parameters -- 5. Three-Mode Data Matrices -- Analysis of Three-Way Data Matrices Based on Pairwise Relation Measures -- Factor Analysis of Evolution and Cluster Methods on
Trajectories -- 6. Cluster Analysis Methods and Algorithms -- Links Between Clustering and Assignment Procedures -- Identification of Linear Regression Models by a Clustering Algorithm -- Validity Tests in Cluster Analysis Using a
Probabilistic Teacher Algorithm -- New Kinds of Graphical Representation in Clustering -- Projection of an Acute Symmetrical Simplicial Closed Convex Cone and its Application to Star Graphs -- Design of a Command Language for
Interactive or Batch Use in a Statistical Package -- Cross Association Measures and Optimal Clustering -- 7. Robustness in Multivariate Analysis -- Multivariate Data Analysis, Contributions and Shortcomings of Robustness in Practice --
On the Use of Bootstrap and Jackknife in Covariance Structure Analysis -- On a Class of Robust Methods for Multivariate Data Analysis -- Robust Recursive Estimation and Detection of Shifts in Regression -- How Robust is One Way Anova
with Respect to within Group Correlation -- Algorithms for the Beta Distribution Function -- 8. Computer Graphics and Data Presentation -- An Interactive Graphic System for Designing and Accessing Statistical Data Bases -- Non-Standard
Graphical Presentation -- Computer Graphics and Data Presentation, a First Step Toward a Cognitive and Ergonomic Analysis -- 9. Expert Systems -- Expert Systems and Data Analysis Package Management -- Developing Intelligent Software
for Non-Linear Model Fitting as an Expert System -- Express — An Expert System Utilizing Standard Statistical Packages -- Muse: An Expert System in Statistics -- Building Expert Systems with the Help of Existing Statistical Software:
An Example -- Statistical Data Validation and Expert Systems -- Knowledge Base Supported Analysis of Longitudinal Data -- How to Assist an Inexperienced User in the Preliminary Analysis of Time Series: First Version of the Estes Expert
System -- Object-Oriented Data Representations for Statistical Data Analysis -- 10. Statistical Software -- Algorithms for the Beta Distribution Function -- Interactive User-Friendly Package for Design and Analysis of Experiments --
NL: A Statistical Package for General Nonlinear Regression Problems -- Statistical Software for Personal Computers -- Recursive Techniques in Statistical Programming -- Design Criteria for a Flexible Statistical Language -- Statistical
Software SAM — Sensitivity Analysis in Multivariate Methods -- 11. Data Handling and Computational Methods of Clinical Trials -- Data Handling and Computational Methods in Clinical Trials -- Database Assisted Conduct of Clinical Trials
-- An APL-System for Analysing Multivariate Data -- AMS — A Computer Program for Survival Analysis, General Linear Models and a Stochastic Survival Model -- 12. Econometric Computing -- A Multilingual Specification System for
Statistical Software -- An Efficient Algorithm for Time Series Decomposition -- 13. Statistical Data Base Management Systems -- Database Management and Statistical Data Analysis: The Need for Integration and for Becoming More
Intelligent -- Privacy, Informatics and Statistics -- Italian Statistical Data Dictionary System Prototype Developed with a 4th Generation Language -- A Methodology for Conceptual Design of Statistical Databases -- Towards Natural
Integration of Database Management System and Statistical Software -- Easy-Link: An Expert Natural Language Interface to a Statistical Data Bank -- Farandole: A RDBMS for Statistical Data Analysis -- Model- and Method Banks (MMB) as a
Supplement to Statistical Data Banks -- A Security Mechanism Based on Uniform Rounding to prevent Tracker Techniques -- 14. Teaching of Computational Statistics -- A Data Analysis Course in a Computer Science Faculty -- Teaching
Computational Statistics on Workstations -- Teaching Regression Analysis Using MIMOSA — an Interactive Computer System for Matrix Calculus -- Late Arrivals -- Practical Use of Color Imagin in Automatic Classification -- Algorithm and
Software of Multivariate Statistical Analysis of Heterogeneous Data -- Adress-List of Authors
ISBN:9783642468902
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Business , Management science , Operations research , Decision making , Business mathematics , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Business Mathematics , Operation Research/Decision Theory , Business and Management, general
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Call number:SPRINGER-1982-9783642514616:ONLINE Show nearby items on shelf
Title:COMPSTAT 1982 5th Symposium held at Toulouse 1982 Part I: Proceedings in Computational Statistics
Author(s):
Date:1982
Size:1 online resource (469 p.)
Note:10.1007/978-3-642-51461-6
Contents:1. Invited Papers -- On Some Problems in Analysing Non-orthogonal Designs -- Analytical Computing: Its Nature and Needs -- Updating Formulae and a Pairwise Algorithm for Computing Sample Variances -- Convex Hull Peeling -- Statistical
Computing at INSEE -- Artificial Intelligence and Data Analysis -- Classification of Multivariate Autoregressive Processes -- Exploratory Analysis of Large Sparse Matrices with Application to Textual Data -- Nonlinear Principal
Component Analysis -- A Programming Language for Multivariate Data Analysis -- Procedures for Optimal Collapsing of Two-way Contingency Table -- Computer Science as a Tool Improving Data Analysis Researches and Uses -- Applied Graph
Analysis in the Social Sciences: The Software Project GRADAP -- Microprocessors for Biomedical Research, Database Management and Analysis -- Parallel Processing in Statistics -- 2. Contributed Papers -- Software to Link Database
Interrogation and Statistical Analysis -- Development of a Statistical Language -- MICROSTAT: A Microcomputer Conversational System for Statistical Data Analysis -- An Algorithm for Nonnegative Least Squares and Projection onto Cones
-- Non Parametric Decision Trees by Bayesian Approach -- A Comparative Assessment of Data Management Software -- From Data Analysis to Non Parametric Statistics: Recent Developments and a Computer Realization for Exploratory Techniques
in Regression or Prediction -- Postgraduate Training for Statisticians — Database Methods -- Crossings, Orders and Ultrametrics: Application to Visualization of Consensus for Comparing Classifications -- Statistical Programs for
Microcomputers: The Implementation of a Directory for Data Structures -- Data Management and Tabulation in OPCS -- Archaeology, Data Analysis, Computer Science: How to Run Proper Treatment of Archaeological Data -- BLINWDR: Robust and
Bounded Influence Regression -- An Analysis of Developers’ and Users’ Ratings of Statistical Software Using Multiple Correspondence Analysis -- Real Time Graphical Techniques for Analyzing Multivariate Data -- About Fuzzy
Discrimination -- A Fortran Preprocessor for Statistical Data Analysis -- An Analysis of Continuous Proportions -- A Sampling Procedure for Historical Data -- Use of Systemic Networks for Text Analysis -- SPASP — A Statistical Program
for the Analysis of Stochastic Processes -- TOOLPACK: Improving the Programming Environment for Statistical Software -- A Programming Technique for Software in Statistical Analysis -- A Comparison of Types of Database System Used in
Statistical Work -- The Frontiers of Statistical Analysis -- Implementation of a Statistical Database System: HSDB -- A Synthetic Approach to Multivariate Normal Clustering -- Variable Selection in Generalized Linear Models --
Approximation of Surfaces in (p+1)-Dimensional Spaces -- Standardized Comparison of Nonlinear Model Fitting Algorithms -- Numerical Approach to the Optimal Design Problem for Regression Models with Correlated Errors -- An Experimental
Design and Analysis Package for Microcomputers -- Propositions for Fuzzy Characteristic Functions in Data Analysis -- Integrated System for Modelling Multivariate Time Series -- Software for Time Series Analysis -- Choice of Methods
and Algorithms for Statistical Treatment of Large Arrays of Data -- New Computing Tools and New Statistical Packages -- Statistical Computing Based on Text Editing -- Cluster Analysis Based on the Maximization of the RV Coefficient --
Statistical Approach to System Parameter Synthesis -- Statistical Match of Samples Using Additional Information -- An Exploratory Program Package for Non-Linear Data-Smoothers -- Applying Parallel Processing to Data Analysis: Computing
a Distance’s Matrix on a SIMD Machine -- The Balance between Teaching Computing and Statistics -- Canonical Analysis with B-splines -- Detecting Outliers in Simultaneous Linear Models -- Least Squares Optimisation of General
Log-likelihood Functions and Estimation of Separable Linear Parameters -- Computational Procedures for Bounded-Influence Regression -- MUDFOLD: Multiple Stochastic Unidimensional Unfolding -- The Estimation of Missing Values in Highly
Correlated Data -- Relational Design of Statistical Databases -- A Forward Multivariate Regression Procedure Based on the Maximization of the RV Coefficient -- Evaluation of Statistical Software Based on Empirical User Research --
Sound and Exploratory Data Analysis -- Monotone Splines: A Family of Transformations Useful for Data Analysis -- Results of the Application of Multimodal Optimization Algorithms Based on Statistical Models -- Address list of authors
ISBN:9783642514616
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1981-9781461394648:ONLINE Show nearby items on shelf
Title:Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface
Author(s):
Date:1981
Size:1 online resource (378 p.)
Note:10.1007/978-1-4613-9464-8
Contents:Keynote Address -- Statistical Theory and the Computer -- Automated Edit and Imputation -- Developing an Edit System for Industry Statistics -- Design of Experiments to Investigate Joint Distributions in Microanalytic Simulations --
Descriptive Statistics Used in Monitoring Edit and Imputation Processes -- Do Statistical Packages Have a Future? -- The Effect of Personal Computers on Statistical Practice -- Statistical Software Design and Scientific Breakthrough:
Some Reflections on the Future -- Some Thoughts on Expert Software -- Fourier Transforms in Applied Statistics -- How Fast is the Fourier Transform? -- Polynomial Time Algorithms for Obtaining Permutation Distributions -- Efficient
Estimation for the Stable Laws -- Algorithms and Statistics -- Applications of Statistics to Applied Algorithm Design -- Algorithms with Random Input -- Recent Results on the Average Time Behavior of Some Algorithms in Computational
Geometry -- Genuinely Statistical Methods in the Theory of Algorithms -- Pattern Recognition -- Applications of Pattern Recognition Methods to Hydrologic Time Series -- Recent Advances in Bump Hunting -- Pattern Recognition in the
Context of an Asbestos Cancer Threshold Study -- Histologic Patterns and Random Chromatic Graphs -- Volume Testing of Statistical Programs -- Volume Testing of Statistical/Database Software -- Scientific Information Retrieval
(SIR/DBMS) -- Volume Testing of Statistical Software — The Statistical Analysis System (SAS) -- Solving Complex Database Problems in P-STAT -- Volume Testing of SPSS -- Volume Testing of Statistical Systems -- Random Number Generation
-- In Search of Correlation in Multiplicative Congruential Generators with Modulus 231 — 1 -- Portability Considerations for Random Number Generators -- Generating Discrete Random Variables in the Computer -- Generation of Random
Variables by Thinning of Poisson Processes -- Understanding Time Series Analysis -- Recent Developments in Spectrum and Harmonic Analysis -- On Some Numerical Properties of ARMA Parameter Estimation Procedures -- Time Series Recursions
and Self-Tuning Control -- Measurement and Evaluation of Software -- On Measurement and Evaluation of Software: A View from the Chair -- Can Statistical Methods Help Solve Problems in Software Measurement? -- Measuring the Performance
of Computer Software — A Dual Role for Statisticians -- Software Metrics: Paradigms and Processes -- A Proposal for Structural Models of Software Systems -- Software Metrics: A Key to Improved Software Development Management --
Orthogonalization: An Alternative to Sweep -- Orthogonalization-Triangularization Methods in Statistical Computati ons -- Research Data Base Management -- Simple Query Language Requirements for Research Data Management -- Data Editing
on Large Data Sets -- Data Archiving: A New(?) Set of Problems for Research Data Management Systems -- Graphical Methods and Their Software -- Census Bureau Statistical Graphics -- Mosaics for Contingency Tables -- The Use of Kinematic
Displays to Represent High Dimensional Data -- Contributed Papers -- Order Statistics and an Experiment in Software Design -- Further Approximation to the Distributions of Some Transformations to the Sample Correlation Coefficient --
Using Linear Programming to Find Approximate Solutions to the Fields to Impute Problem for Industry Data -- Using Computer-Binned Data for Density Estimation -- On the Nonconsistency of Maximum Likelihood Nonparametric Density
Estimators -- Computer Program for Krishnaiah’s Finite Intersection Tests for Multiple Comparisons of Mean Vectors -- Approximating the Log of the Normal Cumulative -- A Kth Nearest Neighbour Clustering Procedure -- Interactive
Statistical Graphics: Breaking Away -- Interactive Graphical Analysis for Multivariate Data -- SLANG, A Statistical Language for Descriptive Time Series Analysis -- On the Parameter Estimation in Queueing Theory -- Statistical
Computation with a Microcomputer -- On the Exact Distribution of Geary’s U-Statistic and its Application to Least Squares Regression -- Exposure to the Risk of an Accident: The Canadian Department of Transport National Driving Survey
and Data Analysis System, 1978-79 -- CONCOR: An Edit and Automatic Correction Package -- BGRAPH: A Program for Biplot Multivariate Graphics -- MONCOR--A Program to Compute Concordant and Other Monotone Correlations -- Computer
Offerings for Statistical Graphics--An Overview -- Computing Percentiles of Large Data Sets -- A Self-Describing Data File Structure for Large Data Sets -- Nonlinear Estimation Using a Microcomputer -- Statistical Procedures for Low
Dose Extrapolation of Quanta! Response Toxicity Data -- An Economic Design of Y-Charts with Warning Limits to Control Non-Normal Process Means -- Prior Probabilities, Maximal Posterior, and Minimal Field Error Localization
ISBN:9781461394648
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics, general
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Call number:SPRINGER-1981-9781461394501:ONLINE Show nearby items on shelf
Title:Computing in Statistical Science through APL
Author(s): Francis John Anscombe
Date:1981
Size:1 online resource (428 p.)
Note:10.1007/978-1-4613-9450-1
Contents:1 Statistical Computing -- A Description of APL -- 2 Origins -- 3 Primitive Scalar Functions -- 4 Arrays -- 5 Primitive Functions on Arrays -- 6 Defined Functions -- 7 Illustrations -- 8 Comments -- Exercises for Part A -- B
Experiments in Statistical Analysis -- 9 Changing Attitudes -- 10 Time Series: Yale Enrolment -- 11 Regression: Public School Expenditures -- 12 Contingency Tables and Pearson-Plackett Distributions -- Appendix 1 Two Occasional Papers
-- Appendix 2 Tests of Residuals -- Appendix 3 ASP: A Statistical Package in A Programming Language -- References
ISBN:9781461394501
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1966-9781475798746:ONLINE Show nearby items on shelf
Title:Correlation Equations For Statistical Computations
Author(s): Aristarkh Konstantinovich Mitropol’skii
Date:1966
Size:1 online resource (103 p.)
Note:10.1007/978-1-4757-9874-6
ISBN:9781475798746
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Applied mathematics , Engineering mathematics , Statistics , Statistics and Computing/Statistics Programs , Applications of Mathematics
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Call number:SPRINGER-1966-9781468479652:ONLINE Show nearby items on shelf
Title:Essentials of Statistics for Scientists and Technologists
Author(s): C Mack
Date:1966
Size:1 online resource (182 p.)
Note:10.1007/978-1-4684-7965-2
Contents:1 Introduction or ‘What is statistics?’ -- 2 The presentation of data -- 3 Probability, its meaning, real and theoretical populations -- 4 Basic properties of the normal distribution -- 5 Some properties of sampling distributions -- 6 Applicatio ns of normal sampling theory significance tests -- 7 Normal sampling theory: test for difference between several sample means, analysis of variance, design of experiments -- 8 Normal sampling theory: estimation of ‘parameters’ by confidence intervals, by maximum likelihood -- 9 The binomial distribution: laws of probability, applications of the binomial distribution, the multinomial distribution -- 10 The Poisson, negative exponential, and rectangular distributions -- 11 The ?2 test for ‘goodness of fit’: test for ‘association’ -- 12 Fitting lines and curves to data, least squares method -- 13 Regression curves and lines, correlation coefficient, normal bivariate distribution -- 14 Some distribution-independent (or ‘distribution-free’ or
‘non-parametric’) tests -- 15 Note on sampling techniques and quality control -- 16 Some problems of practical origin -- Answers
ISBN:9781468479652
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics and Computing/Statistics Programs
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Call number:SPRINGER-1966-9781461586159:ONLINE Show nearby items on shelf
Title:Essentials of Statistics for Scientists and Technologists
Author(s): C Mack
Date:1966
Size:1 online resource (182 p.)
Note:10.1007/978-1-4615-8615-9
Contents:1 Introduction or ‘What is statistics?’ -- 2 The presentation of data -- 3 Probability, its meaning, real and theoretical populations -- 4 Basic properties of the normal distribution -- 5 Some properties of sampling distributions -- 6 Applicatio ns of normal sampling theory significance tests -- 7 Normal sampling theory: test for difference between several sample means, analysis of variance, design of experiments -- 8 Normal sampling theory: estimation of ‘parameters’ by confidence intervals, by maximum likelihood -- 9 The binomial distribution: laws of probability, applications of the binomial distribution, the multi nomial distribution -- 10 The Poisson, negative exponential, and rectangular distributions -- 11 The ?2test for ‘goodness of fit’: test for ‘association’ -- 12 Fitting lines and curves to data, least squares method -- 13 Regression curves and lines, correlation coefficient, normal bivariate distribution -- 14 Some distribution-independent (or ‘distribution-free’ or
‘non-parametric’) tests -- 15 Note on sampling techniques and quality control -- 16 Some problems of practical origin -- Answers
ISBN:9781461586159
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics and Computing/Statistics Programs , Statistics, general
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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