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Introduction to mathematical statistics / Robert V. Hogg, Joseph W. McKean, Allen T. Craig.

By: Hogg, Robert VContributor(s): McKean, Joseph W, 1944- | Craig, Allen T. (Allen Thornton), 1905-Material type: TextTextLanguage: English Publication details: Upper Saddle River, N.J. : Pearson Education, c2005. Edition: 6th edDescription: xiii, 704 p. : ill. ; 25 cmISBN: 0130085073; 9788177589306Subject(s): Mathematical statisticsDDC classification: 519.5 HOI LOC classification: QA276 | .H59 2005Online resources: OCLC | Ebook Fulltext
Contents:
1. Probability and Distribution. 2. Multivariate Distributions. 3. Some Special Distributions. 4. Unbiasedness, Consistency, and Limiting Distributions. 5. Introduction to Inference. 6. Maximum Likelihood Methods. 7. Sufficiency. 8. Optimal Tests of Hypotheses. 9. Inferences about Normal Models. 10. Nonparametric Statistics. 11. Bayesian Statistics. 12. Comparison of Least Squares and Robust Procedures for Linear Models. Appendix A. Regularity Conditions. Appendix B. R-Functions.
Summary: For two-semester, beginning graduate courses in mathematical statistics, and for senior undergraduate mathematics, statistics, and actuarial science majors, this text retains its outstanding ongoing features and continues to provide students with excellent background material necessary for a successful understanding of mathematical statistics.
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Non-fiction 519.5 HOI 2005 (Browse shelf(Opens below)) Not for loan
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Text Text EWU Library
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Text Text EWU Library
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Text Text EWU Library
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Text Text EWU Library
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Non-fiction 519.5 HOI 2005 (Browse shelf(Opens below)) C-7 Available 25577
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Includes bibliographical references (p. 679-682) and index.

1. Probability and Distribution. 2. Multivariate Distributions. 3. Some Special Distributions. 4. Unbiasedness, Consistency, and Limiting Distributions. 5. Introduction to Inference. 6. Maximum Likelihood Methods. 7. Sufficiency. 8. Optimal Tests of Hypotheses. 9. Inferences about Normal Models. 10. Nonparametric Statistics. 11. Bayesian Statistics. 12. Comparison of Least Squares and Robust Procedures for Linear Models. Appendix A. Regularity Conditions. Appendix B. R-Functions.


For two-semester, beginning graduate courses in mathematical statistics, and for senior undergraduate mathematics, statistics, and actuarial science majors, this text retains its outstanding ongoing features and continues to provide students with excellent background material necessary for a successful understanding of mathematical statistics.

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Tahur Ahmed

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