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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Voinov, Vassiliy
Otros Autores: Balakrishnan, N., 1956-, Nikulin, M. S. (Mikhail Stepanovich)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Academic Press, [2013]
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

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050 4 |a QA277.3  |b .V65 2013eb 
082 0 4 |a 519.5/6  |2 23 
100 1 |a Voinov, Vassiliy. 
245 1 0 |a Chi-squared goodness of fit tests with applications /  |c V. Voinov, M. Nikulin, N. Balakrishnan. 
250 |a First edition. 
260 |a Waltham, MA :  |b Academic Press,  |c [2013] 
300 |a 1 online resource (1 volume) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 |a 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. 
505 0 |a 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. 
650 0 |a Chi-square test. 
650 0 |a Distribution (Probability theory) 
650 6 |a Test du khi-carr�e.  |0 (CaQQLa)201-0160236 
650 6 |a Distribution (Th�eorie des probabilit�es)  |0 (CaQQLa)201-0010977 
650 7 |a distribution (statistics-related concept)  |2 aat  |0 (CStmoGRI)aat300055656 
650 7 |a Chi-square test  |2 fast  |0 (OCoLC)fst00853988 
650 7 |a Distribution (Probability theory)  |2 fast  |0 (OCoLC)fst00895600 
700 1 |a Balakrishnan, N.,  |d 1956- 
700 1 |a Nikulin, M. S.  |q (Mikhail Stepanovich) 
776 0 8 |i Print version:  |z 0123971942  |w (OCoLC)767566100 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123971944  |z Texto completo