Smooth tests of goodness of fit / J.C.W. Rayner, D.J. Best.
Material type:
TextPublication details: New York : Oxford University Press, 1989.Description: 1 online resource (xiv, 162 pages) : illustrationsContent type: - text
- computer
- online resource
- 1423735447
- 9781423735441
- 1601297122
- 9781601297129
- 9780195056105
- 0195056108
- 1280440600
- 9781280440601
- 9786610440603
- 6610440603
- 0195363604
- 9780195363609
- Goodness-of-fit tests
- Statistical hypothesis testing
- Tests d'ajustement (Statistique)
- Tests d'hypothèses (Statistique)
- MATHEMATICS -- Probability & Statistics -- General
- Goodness-of-fit tests
- Statistical hypothesis testing
- Güte der Anpassung
- Statistischer Test
- Ajustement, tests d' (Statistiques)
- Statistics Use of Microcomputers
- 519.5/6 22
- QA277 .R395 1989eb
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Includes bibliographical references (pages 148-156 and indexes).
1 Introduction; 2 Pearson's X[sup(2)] Test; 3 Asymptotically Optimal Tests; 4 Neyman Smooth Tests for Simple Null Hypotheses; 5 Neyman Smooth Tests for Categorized Simple Null Hypotheses; 6 Neyman Smooth Tests for Uncategorized Composite Null Hypotheses; 7 Neyman Smooth Tests for Categorized Composite Null Hypotheses; 8 Conclusion; Appendix 1 Orthogonal Polynomials; Appendix 2 Computer Program for Implementing the Smooth Tests of Fit for the Uniform, Normal, and Exponential Distributions.
This study describes the validity of models involving statistical distribution of data. The smooth tests are a subset of these tests which are easy to apply and can be used in any situation in which there are relatively large sample sizes.
Print version record.
English.
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