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Chi-Squared Goodness of Fit Tests with Applications
This reference book provides a much more 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.
Narayanaswamy Balakrishnan (Author), Vassilly Voinov (Author), M.S Nikulin (Author)
9780123971944, Elsevier Science
Hardback, published 21 March 2013
256 pages
22.9 x 15.1 x 2.1 cm, 0.74 kg
"The book covers modifications and advances of chi-squared test in cases of various situations. On the whole, the book has a highly mathematical treatment and will be very useful to the researchers working on problems related to chi-squared tests of statistical hypothesis testing." --Zentralblatt MATH, 1276.62027 "The primary purpose of this book is to provide a detailed exploration of the theory, methods, and applications of the chi-squared goodness of fit test first advanced by Karl Pearson over 100 years ago." --Reference and Research BookNews.com, April 2013
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.
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
Subject Areas: Stochastics [PBWL], Probability & statistics [PBT]
