ISBN: 9781439809082

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 linea… More...

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 New Textbooks>Hardcover>Science>Statistics & Probability>Statistics & Probability, Taylor & Francis Core >2 >T<

ISBN: 9781439809082

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 linea… More...

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 modelsA 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 ; Science & Nature, CRC Press<

ISBN: 9781439809082

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 … More...

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 Books > Science & Nature > Math & Physics > Mathematics > Probability & Statistics List_Books, [PU: Productivity Press]<

ISBN: 9781439809082

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 … More...

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 Books List_Books, [PU: Productivity Press]<

ISBN: 9781439809082

Hardback, [PU: Taylor & Francis Inc], Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends th… More...

Hardback, [PU: Taylor & Francis Inc], Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends the possible analyses based on ranks. It contains a new section on rank procedures for nonlinear models, a new chapter on models with dependent error structure, and new material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models. The authors illustrate the methods using many real-world examples and R. Information about the data sets and R packages can be found at www.crcpress.com, Probability & Statistics<