Nonparametric Statistical Methods (eBook)

Myles Hollander, Douglas A. Wolfe, Eric Chicken (Autoren)

eBook Download: EPUB

2013 | 3. Auflage
848 Seiten
John Wiley & Sons (Verlag)
978-1-118-55329-9 (ISBN)

Infos

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.

Autor

MYLES HOLLANDER is Robert O. Lawton Distinguished Professor of Statistics and Professor Emeritus at the Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association, 1993-96, and he received the Gottfried E. Noether Senior Scholar Award from the American Statistical Association in 2003. DOUGLAS A. WOLFE is Professor and Chair Emeritus in the Department of Statistics at Ohio State University in Columbus. He is a two-time recipient of the Ohio State University Alumni Distinguished Teaching Award, in 1973-74 and 1988-89. ERIC CHICKEN is Associate Professor at the Florida State University in Tallahassee. He is active in modern nonparametric statistics research fields, including functional analysis, sequential methods, and complex system applications.

Produkt-Details

• Erscheint lt. Verlag: 25.11.2013
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Bayesian analysis • Bayes-Verfahren • nichtparametrische Statistik • nichtparametrische Verfahren • Nonparametric Analysis • Regression Analysis • Regressionsanalyse • Statistics • Statistik
• ISBN-10: 1-118-55329-2 / 1118553292
• ISBN-13: 978-1-118-55329-9 / 9781118553299