Chi-Squared Goodness of Fit Tests with Applications

Chi-Squared Goodness of Fit Tests with Applications

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Overview

Chi-Squared Goodness of Fit Tests with Applications by N. Balakrishnan, Vassilly Voinov, M.S Nikulin

Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson’s monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with an authoritative author team.  This reference includes the most recent application developments in using these methods and models.

  • Systematic presentation with interesting historical context and coverage of the fundamentals of the subject
  • Presents modern model validity methods, graphical techniques, and computer-intensive methods
  • Recent research and a variety of open problems
  • Interesting real-life examples for practitioners

Product Details

ISBN-13: 9780123977830
Publisher: Elsevier Science
Publication date: 01/25/2013
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 256
File size: 9 MB

About the Author

Professor Narayanaswamy Balakrishnan, Professor of Statistics, Department of Mathematics and Statistics McMaster University Hamilton, Ontario, Canada&visiting Professor, King Abdulaziz University, Jeddah, Saudi Arabia. Balakrishnan is a statistical distribution theorist and books powerhouse with 16 authored books, 4 authored handbooks, and 27 edited books under his name. He is current Editor-in-Chief of Communications in Statistics, and for the revised Encyclopedia of Statistical Sciences published by Wiley.

Table of Contents

Chi-Squared Tests and Modifications: Theory and Applications, Introduction: Historical Notes; Some probability models used in the book, Wald’s method and NRR test, Wald’s method and HRM test; Modifications based on UMVUEs; Vector-valued tests; Some Applications of Modified Chi-squared Tests;  Appendices

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