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Smooth tests of goodness of fit using R / J.C.W. Rayner, O. Thas., D.J. Best

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Singapore ; Hoboken, NJ : John Wiley & Sons (Asia), c2009Edition: 2nd edDescription: xvi, 272 p. : ill. ; 25 cmISBN:
  • 9780470824429
Subject(s):
Contents:
1. Introduction -- 2. Pearson’s X² Test -- 3. Asymptotically Optimal Tests -- 4. Neyman Smooth Tests for Simple Null Hypotheses -- 5. Categorized Simple Null Hypotheses -- 6. Neyman Smooth Tests for Uncategorized Composite Null Hypotheses -- 7. Neyman Smooth Tests for Categorized Composite Null Hypotheses -- 8. Neyman Smooth Tests for Uncategorized Composite Null Hypotheses: Discrete Distributions -- 9. Construction of Generalized Smooth Tests: Theoretical Contributions -- 10. Smooth Modelling -- 11. Generalized Smooth Tests for Uncategorized Composite Null Hypotheses -- Appendix A. Orthonormal Polynomials and Recurrence Relations -- Appendix B. Parametric Bootstrap p-Values -- Appendix C. Some Details for Particular Distributions
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Open Shelf Open Shelf UMPLIB GAMBANG QA277 .R39 2009 (Browse shelf(Opens below)) 1 Available 0000051895

Includes bibliographical references (p. [259-268]) and indexes

1. Introduction -- 2. Pearson’s X² Test -- 3. Asymptotically Optimal Tests -- 4. Neyman Smooth Tests for Simple Null Hypotheses -- 5. Categorized Simple Null Hypotheses -- 6. Neyman Smooth Tests for Uncategorized Composite Null Hypotheses -- 7. Neyman Smooth Tests for Categorized Composite Null Hypotheses -- 8. Neyman Smooth Tests for Uncategorized Composite Null Hypotheses: Discrete Distributions -- 9. Construction of Generalized Smooth Tests: Theoretical Contributions -- 10. Smooth Modelling -- 11. Generalized Smooth Tests for Uncategorized Composite Null Hypotheses -- Appendix A. Orthonormal Polynomials and Recurrence Relations -- Appendix B. Parametric Bootstrap p-Values -- Appendix C. Some Details for Particular Distributions

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