Nonparametric statistical methods - Info and Reading Options
By Myles Hollander
"Nonparametric statistical methods" was published by Wiley in 1999 - New York, it has 787 pages and the language of the book is English.
“Nonparametric statistical methods” Metadata:
- Title: ➤ Nonparametric statistical methods
- Author: Myles Hollander
- Language: English
- Number of Pages: 787
- Publisher: Wiley
- Publish Date: 1999
- Publish Location: New York
“Nonparametric statistical methods” Subjects and Themes:
- Subjects: ➤ Nonparametric statistics - Statistics - Biometry - Estadística matemática - Non-parametrische statistiek - Statistique non paramétrique - Non-parametric statistics - Methods - INFERENCIA NAO PARAMETRICA - Statistique non parametrique - Problemes et exercices - 31.73 mathematical statistics - Statistique non-parametrique - MATHEMATICS / Probability & Statistics / General - Statistics as Topic
Edition Specifications:
- Pagination: xiv, 787 p. :
Edition Identifiers:
- The Open Library ID: OL344354M - OL1805210W
- Online Computer Library Center (OCLC) ID: 38535866
- Library of Congress Control Number (LCCN): 98003314
- ISBN-10: 0471190454
- All ISBNs: 0471190454
AI-generated Review of “Nonparametric statistical methods”:
"Nonparametric statistical methods" Description:
The Open Library:
This Second Edition of Myles Hollander and Douglas A. Wolfe's successful Nonparametric Statistical Methods meets the needs of a new generation of users, with completely up-to-date coverage of this important statistical area. Like its predecessor, the revised edition, along with its companion ftp site, aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use nonparametric approaches to handle one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.
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