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Introduction to Modern Nonparametric Statistics

Introduction to Modern Nonparametric Statistics
Author: James J. Higgins
ISBN 13: 9780534387754
ISBN 10: 534387756
Edition: 1
Publisher: Duxbury Press
Publication Date: 2003-05-05
Format: Hardcover
Pages: 384
List Price: $280.95

Guided by problems that frequently arise in actual practice, James Higgins? book presents a wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve smoothing. This truly modern approach teaches non-majors how to analyze and interpret data with nonparametric procedures using today's computing technology.