Description
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.
Book Details
Format
Kindle
Pages
320 pages
Language
English
Published
Feb 4, 2013
Publisher
Wiley-ISTE
Editions
2 editions
ISBN-10
1118601602
ISBN-13
9781118601600