Nonparametric Statistical Methods (eBook)

Praise for the Second Edition

"This book should be an essential part of the personal
library of every practicing
statistician."--Technometrics



Thoroughly revised and updated, the new edition of Nonparametric
Statistical Methods includes additional modern topics and
procedures, more practical data sets, and new problems from
real-life situations. The book continues to emphasize the
importance of nonparametric methods as a significant branch of
modern statistics and equips readers with the conceptual and
technical skills necessary to select and apply the appropriate
procedures for any given situation.

Written by leading statisticians, Nonparametric Statistical
Methods, Third Edition provides readers with crucial
nonparametric techniques in a variety of settings, emphasizing the
assumptions underlying the methods. The book provides an extensive
array of examples that clearly illustrate how to use nonparametric
approaches for handling one- or two-sample location and dispersion
problems, dichotomous data, and one-way and two-way layout
problems. In addition, the Third Edition features:

* The use of the freely available R software to aid in
computation and simulation, including many new R programs written
explicitly for this new edition

* New chapters that address density estimation, wavelets,
smoothing, ranked set sampling, and Bayesian nonparametrics

* Problems that illustrate examples from agricultural science,
astronomy, biology, criminology, education, engineering,
environmental science, geology, home economics, medicine,
oceanography, physics, psychology, sociology, and space
science

Nonparametric Statistical Methods, Third Edition is an
excellent reference for applied statisticians and practitioners who
seek a review of nonparametric methods and their relevant
applications. The book is also an ideal textbook for
upper-undergraduate and first-year graduate courses in applied
nonparametric statistics.