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An Introduction to Nonparametric Statistics by John E. Kolassa at Abbey's Bookshop,
An Introduction to Nonparametric Statistics
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John E. Kolassa

An Introduction to Nonparametric Statistics

John E. Kolassa

$179

Hardback

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English
Chapman & Hall/CRC
29 September 2020
Probability & statistics
Series: Chapman & Hall/CRC Texts in Statistical Science
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.
By:  
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   570g
ISBN:   9780367194840
ISBN 10:   0367194848
Series:   Chapman & Hall/CRC Texts in Statistical Science
Pages:   224
Publication Date:  
Audience:   College/higher education ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Active

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

Reviews for An Introduction to Nonparametric Statistics

'In my opinion, nonparametric tests, proposed in the book can be applied in a wide range of scientific fields, and scientists who are not familiar with mathematics but have a basic knowledge of working in R can find many useful techniques for analysing their research data.' -Maria Ivanchuk, International Society for Clinical Biostatistics, 71, 2021


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