Robust Nonparametric Statistical Methods - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Hettmansperger, Thomas P. (Pennsylvania State University, University Park, USA) - 書籍 - Taylor & Francis Inc - 9781439809082 - 2010年12月20日
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Robust Nonparametric Statistical Methods - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 第2 版

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発送予定日 年10月13日 - 年10月29日
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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


553 pages, 38 black & white illustrations, 71 black & white tables

メディア 書籍     Hardcover Book   (ハードカバー付きの本)
リリース済み 2010年12月20日
ISBN13 9781439809082
出版社 Taylor & Francis Inc
ページ数 554
寸法 187 × 262 × 35 mm   ·   1,17 kg
言語 英語  

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