An Introduction to Nonparametric Statistics - Brossura

Kolassa, John E.

Brossura

ISBN 10: 0367564386 ISBN 13: 9780367564384

Casa editrice: Chapman and Hall/CRC, 2022

Riassunto

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data. Rank-based and resampling techniques are heavily represented, but robust techniques are considered as well. These techniques include one-sample testing and estimation, multi-sample testing and estimation, and regression.

Attention is paid to the intellectual development of the field, with a thorough review of bibliographical references. Computational tools, in R and SAS, are developed and illustrated via examples. Exercises designed to reinforce examples are included.

Features

• Rank-based techniques including sign, Kruskal-Wallis, Friedman, Mann-Whitney and Wilcoxon tests are presented
• Tests are inverted to produce estimates and confidence intervals
• Multivariate tests are explored
• Techniques reflecting the dependence of a response variable on explanatory variables are presented
• Density estimation is explored
• The bootstrap and jackknife are discussed

This text is intended for a graduate student in applied statistics. The course is best taken after an introductory course in statistical methodology, elementary probability, and regression. Mathematical prerequisites include calculus through multivariate differentiation and integration, and, ideally, a course in matrix algebra.

Su questo libro

Informazioni sull?autore

John Kolassa is Professor of Statistics and Biostatistics, Rutgers, the State University of New Jersey.

Dettagli dell?edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2022
• ISBN 10: 0367564386
• ISBN 13: 9780367564384
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 212
• Contatto del produttore: non disponibile