Chi-Squared Goodness of Fit Tests with Applications
Auteurs : Balakrishnan N., Voinov Vassilly, Nikulin M.S
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
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
Researchers, professionals and specialists in applied mathematical statistics; graduate students and postgraduate students interested in problems of applied mathematical statistics; students and postgraduate students who use methods of statistical analysis in processing of experimental data; -specialists (researchers) who analyze data of experimental investigations (in applications).
Date de parution : 03-2013
Ouvrage de 320 p.
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
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