TY - BOOK
T1 - Applied Nonparametric Statistical Methods
T2 - Chapman & Hall/CRC Texts in Statistical Science
AU - Smeeton, Nigel
AU - Spencer, Neil
AU - Sprent, Peter
N1 - © 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
PY - 2025/3/3
Y1 - 2025/3/3
N2 - 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.
AB - 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.
U2 - 10.1201/9780429326172
DO - 10.1201/9780429326172
M3 - Book
SN - 9780367344894
BT - Applied Nonparametric Statistical Methods
PB - CRC Press
CY - New York
ER -