Applied Nonparametric Statistical Methods: Chapman & Hall/CRC Texts in Statistical Science

Nigel Smeeton; Neil Spencer; Peter Sprent

doi:10.1201/9780429326172

Applied Nonparametric Statistical Methods: Chapman & Hall/CRC Texts in Statistical Science

Nigel Smeeton
, Neil Spencer
, Peter Sprent

Research output: Book/Report › Book

22 Citations (Scopus)

Abstract

Nonparametric statistical methods minimize the number of assumptions that need to be made about the distribution of data being analysed, unlike classical parametric methods. As such, they are an essential part of a statistician’s armoury, and this book is an essential resource in their application. Starting from the basics of statistics, it takes the reader through the main nonparametric approaches with an emphasis on carefully explained examples backed up by use of the R programming language.

Original language	English
Place of Publication	New York
Publisher	CRC Press
Number of pages	476
Edition	5th
ISBN (Electronic)	9780429326172
ISBN (Print)	9780367344894
DOIs	https://doi.org/10.1201/9780429326172
Publication status	Published - 31 Mar 2025

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© 2025 The Author(s). Published by CRC Press imprint of Taylor & Francis Group. This is the accepted manuscript version of a book chapter which has been published in final form at https://doi.org/10.1201/9780429326172
Accepted author manuscript, 472 KBLicence: Unspecified

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Applied Nonparametric Statistical Methods: Chapman & Hall/CRC Texts in Statistical Science

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