Nonparametric Statistical Methods

Wiley Series in Probability and Statistics

Book 751
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Praise for the Second Edition
“This book should be an essential part of the personallibrary of every practicingstatistician.”Technometrics

Thoroughly revised and updated, the new edition of NonparametricStatistical Methods includes additional modern topics andprocedures, more practical data sets, and new problems fromreal-life situations. The book continues to emphasize theimportance of nonparametric methods as a significant branch ofmodern statistics and equips readers with the conceptual andtechnical skills necessary to select and apply the appropriateprocedures for any given situation.

Written by leading statisticians, Nonparametric StatisticalMethods, Third Edition provides readers with crucialnonparametric techniques in a variety of settings, emphasizing theassumptions underlying the methods. The book provides an extensivearray of examples that clearly illustrate how to use nonparametricapproaches for handling one- or two-sample location and dispersionproblems, dichotomous data, and one-way and two-way layoutproblems. In addition, the Third Edition features:

  • The use of the freely available R software to aid incomputation and simulation, including many new R programs writtenexplicitly 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 spacescience
Nonparametric Statistical Methods, Third Edition is anexcellent reference for applied statisticians and practitioners whoseek a review of nonparametric methods and their relevantapplications. The book is also an ideal textbook forupper-undergraduate and first-year graduate courses in appliednonparametric statistics. 
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About the author

MYLES HOLLANDER is Robert O. Lawton DistinguishedProfessor of Statistics and Professor Emeritus at the Florida StateUniversity in Tallahassee. He served as editor of the Theory andMethods Section of the Journal of the American StatisticalAssociation, 1993–96, and he received the Gottfried E.Noether Senior Scholar Award from the American StatisticalAssociation in 2003.

DOUGLAS A. WOLFE is Professor and Chair Emeritus in theDepartment of Statistics at Ohio State University in Columbus. Heis a two-time recipient of the Ohio State University AlumniDistinguished Teaching Award, in 1973–74 and 1988–89.

ERIC CHICKEN is Associate Professor at the Florida StateUniversity in Tallahassee. He is active in modern nonparametricstatistics research fields, including functional analysis,sequential methods, and complex system applications.

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Additional Information

John Wiley & Sons
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Published on
Nov 25, 2013
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Mathematics / Applied
Mathematics / Probability & Statistics / Bayesian Analysis
Mathematics / Probability & Statistics / Regression Analysis
Mathematics / Probability & Statistics / Stochastic Processes
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