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

By: Contributor(s): Material type: TextTextPublisher: Upper Saddle River, N.J. : Pearson Education, [2005]Copyright date: ©2005Edition: Sixth editionDescription: xiii, 704 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0130085073
  • 9780130085078
  • 0131226053
  • 9780131226050
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276 .H59 2005
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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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 HOG (Browse shelf(Opens below)) 1 Available A260241B

Includes bibliographical references (pages 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.

Machine converted from AACR2 source record.

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