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Nonparametric Statistical Methods
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: 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.
“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: 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.
- GenresMathematics
848 pages, Hardcover
First published March 1, 1973
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About the author
Myles Hollander
10 booksMyles Hollander was an American academic statistician who made research contributions to nonparametric methods, biostatistics, and reliability. He was Emeritus and Robert O. Lawton Distinguished Professor of Statistics at Florida State University. He was a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute.
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Displaying 1 of 1 review
February 24, 2009
Each chapter section showcases a nonparametric technique, and then usually has commentary/notes longer than the chapter itself -- but I do like having all that extra info about these methods. As a master's-level student I felt it was informative and easy to follow.
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