Books like An introduction to modern nonparametric statistics by James J. Higgins


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.
First publish date: 2003
Authors: James J. Higgins
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An introduction to modern nonparametric statistics by James J. Higgins

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Books similar to An introduction to modern nonparametric statistics (4 similar books)

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Some Other Similar Books

Nonparametric Statistical Methods by Myunghee J. K. Kim
Nonparametric Data Analysis by James J. Higgins
Introduction to Nonparametric Methods in Biostatistics by Shein-Chung Chow and Jen-Pei Liu
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Applied Nonparametric Statistical Methods by Peter T. H. Wu
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