Chi-squared goodness of fit tests with applications /

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 condu...

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Bibliographic Details
Main Authors: Voinov, Vassiliy.
Corporate Authors: Elsevier Science & Technology.
Group Author: Balakrishnan, N., 1956-; Nikulin, M. S. (Mikhail Stepanovich)
Published: Academic Press,
Publisher Address: Waltham, MA :
Publication Dates: [2013]
Literature type: eBook
Language: English
Edition: First edition.
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9780123971944
Summary: 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 subjectPresents modern model validity methods, graphical techniques, and computer-intensive methodsRecent research and a variety of open problemsInteresting real-life examples for practitioners.
Carrier Form: 1 online resource (1 volume)
Bibliography: Includes bibliographical references and index.
ISBN: 1299196144
9781299196148
9780123977830
0123977835
Index Number: QA277
CLC: O211.1
Contents: 1. A historical account -- 2. Pearson's sum and Pearson-Fisher test -- 3. Wald's method and Nikulin-Rao-Robson test -- 4. Wald's method and Hsuan-Robson-Mirvaliev test -- 5. Modifications based on UMVUEs -- 6. Vector-valued tests -- 7. Applications of modified chi-squared tests -- 8. Probability distributions of interest -- 9. Chi-squared tests for specific distributions.