"Often referred to as distribution-free methods, nonparametric methods do not rely on assumptions that the data are drawn from a given probability distribution. With an emphasis on Wilcoxon rank methods that enable a unified approach to data analysis, this book presents a unique overview of robust n
Robust Nonparametric Statistical Methods
β Scribed by Thomas P. Hettmansperger (Author); Joseph W. McKean (Author)
- Publisher
- CRC Press
- Year
- 2010
- Leaves
- 540
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 m
β¦ Table of Contents
One-Sample Problems. Two-Sample Problems. Linear Models. Experimental Designs: Fixed Effects. Models with Dependent Error Structure. Multivariate. Appendix. References. Index.
β¦ Subjects
Bioscience;Biology;Statistics for the Biological Sciences;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing;Statistical Theory & Methods
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''Show synopsis Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are pre