Nonparametric Tests for Complete Data
- Length: 320 pages
- Edition: 1
- Language: English
- Publisher: Wiley-ISTE
- Publication Date: 2011-01-18
- ISBN-10: 1848212690
- ISBN-13: 9781848212695
- Sales Rank: #10150961 (See Top 100 Books)
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.
Table of Contents
Chapter 1. Introduction
Chapter 2. Chi-squared Tests
Chapter 3. Goodness-of-fit Tests Based on Empirical Processes
Chapter 4. Rank Tests
Chapter 5. Other Non-parametric Tests
Free ChaptersTry Audible and Get Two Free Audiobooks »
To access the link, solve the captcha.
Recommended BooksMore Similar Books »
Subscribe
Categories