Nonparametric Tests for Complete Data Front Cover

Nonparametric Tests for Complete Data

  • Length: 320 pages
  • Edition: 1
  • Publisher:
  • 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

To access the link, solve the captcha.