Robust Nonparametric Statistical Methods
Department
Statistics
Document Type
Book
Files
Description
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
Call number in WMU's library
QA278.8 .H47 2011 (WMU Authors Collection)
ISBN
9781439809082
Publication Date
2011
Publisher
CRC Press
City
Boca Raton
Keywords
Statistics, nonparametric
Disciplines
Statistics and Probability
Recommended Citation
McKean, Joseph and Hettmansperger, Thomas, "Robust Nonparametric Statistical Methods" (2011). All Books and Monographs by WMU Authors. 52.
https://scholarworks.wmich.edu/books/52