| Description |
1 online resource (1 volume) |
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| 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. |
| Subject |
Chi-square test.
|
|
Distribution (Probability theory)
|
|
Test du khi-carré. |
|
Distribution (Théorie des probabilités) |
|
distribution (statistics-related concept) |
|
Chi-square test |
|
Distribution (Probability theory) |
| Added Author |
Balakrishnan, N., 1956-
|
|
Nikulin, M. S. (Mikhail Stepanovich)
|
| Other Form: |
Print version: 0123971942 (OCoLC)767566100 |
| ISBN |
1299196144 (ebk) |
|
9781299196148 (ebk) |
|
9780123977830 |
|
0123977835 |
|
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