An Introduction to Modern Nonparametric Statistics

Download or read book An Introduction to Modern Nonparametric Statistics written by James J. Higgins and published by Duxbury Resource Center. This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.