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ISBN: 9781439809082

ID: 1633492

One-Sample Problems Introduction Location Model Geometry and Inference in the Location Model Examples Properties of Norm-Based Inference Robustness Properties of Norm-Based Inference Inference and the Wilcoxon Signed-Rank Norm Inference Based on General Signed-Rank Norms Ranked Set Sampling L 1 Interpolated Confidence Intervals Two-Sample Analysis Two-Sample Problems Introduction Geometric Motivation Examples Inference Based on the Mann-Whitney-Wilcoxon General Rank Scores L 1 Analyses Robustness Properties Proportional Hazards Two-Sample Rank Set Sampling (RSS) Two-Sample Scale Problem Behrens-Fisher Problem Paired Designs Linear Models Introduction Geometry of Estimation and Tests Examples Assumptions for Asymptotic Theory Theory of Rank-Based Estimates Theory of Rank-Based Tests Implementation of the R Analysis L 1 Analysis Diagnostics Survival Analysis Correlation Model High Breakdown (HBR) Estimates Diagnostics for Differentiating between Fits Rank-Based Procedures for Nonlinear Models Experimental Designs: Fixed Effects Introduction One-Way Design Multiple Comparison Procedures Two-Way Crossed Factorial Analysis of Covariance Further Examples Rank Transform Models with Dependent Error Structure Introduction General Mixed Models Simple Mixed Models Arnold Transformations General Estimating Equations (GEE) Time Series Multivariate Multivariate Location Model Componentwise Spatial Methods Affine Equivariant and Invariant Methods Robustness of Estimates of Location Linear Model Experimental Designs Appendix: Asymptotic Results References Index Science Science eBook, CRC Press

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ISBN: 9781439809082

ID: 978143980908

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks. New to the Second Edition A new section on rank procedures for nonlinear models A new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time series New material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models Taking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs. It also explores models with dependent error structure and multivariate models. The authors illustrate the implementation of the methods using many real-world examples and R. More information about the data sets and R packages can be found at www.crcpress.com Thomas P. Hettmansperger, Joseph W. McKean, Books, Science and Nature, Robust Nonparametric Statistical Methods, Second Edition Books>Science and Nature, Taylor and Francis

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ISBN: 9781439809082

ID: 978143980908

Presenting an extensive set of tools and methods for data analysis,Robust Nonparametric Statistical Methods, Second Editioncovers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks.New to the Second EditionA new section on rank procedures for nonlinear modelsA new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time seriesNew material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate modelsTaking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs. It also explores models with dependent error structure and multivariate models. The authors illustrate the implementation of the methods using many real-world examples and R. More information about the data sets and R packages can be found at www.crcpress.com Thomas P. Hettmansperger, Joseph W. McKean, Books, Science and Nature, Robust Nonparametric Statistical Methods, Second Edition Books>Science and Nature, Taylor and Francis

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ISBN: 9781439809082

ID: 978143980908

Presenting an extensive set of tools and methods for data analysis,Robust Nonparametric Statistical Methods, Second Editioncovers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks.New to the Second EditionA new section on rank procedures for nonlinear modelsA new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time seriesNew material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate modelsTaking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs. It also explores models with dependent error structure and multivariate models. The authors illustrate the implementation of the methods using many real-world examples and R. More information about the data sets and R packages can be found at www.crcpress.com Thomas P. Hettmansperger, Joseph W. McKean, Books, Science and Nature, Robust Nonparametric Statistical Methods Books>Science and Nature, Crc Press Llc

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ISBN: 1439809089

ID: 10328995

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks. New to the Second Edition A new section on rank procedures for nonlinear models A new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time series New material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models Taking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs. It also explores models with dependent error structure and multivariate models. The authors illustrate the implementation of the methods using many real-world examples and R. More information about the data sets and R packages can be found at www.crcpress.com math,mathematics,science and math Mathematics, CRC Press LLC

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** Details of the book - Robust Nonparametric Statistical Methods**

EAN (ISBN-13): 9781439809082

ISBN (ISBN-10): 1439809089

Hardcover

Publishing year: 2010

Publisher: CRC PR INC

535 Pages

Weight: 1,134 kg

Language: eng/Englisch

Book in our database since 19.05.2010 11:00:24

Book found last time on 25.07.2018 22:28:29

ISBN/EAN: 9781439809082

ISBN - alternate spelling:

1-4398-0908-9, 978-1-4398-0908-2

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