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Theory of statistics /Mark J Schervish

By: Contributor(s): Material type: TextTextPublisher number: Atlantic Publishers & Distributors | ;7/22,Ansari Road ,Darya Ganj,New Delhi-110002Series: Springer series in statisticsPublication details: New York : Springer-Verlag , ©1995.Description: xvi, 702 pages : illustrations ; 25 cmISBN:
  • 9780387945460
Subject(s): Genre/Form: DDC classification:
  • 519.5 SCH
Contents:
Ch. 1. Probability Models -- Ch. 2. Sufficient Statistics -- Ch. 3. Decision Theory -- Ch. 4. Hypothesis Testing -- Ch. 5. Estimation -- Ch. 6. Equivariance -- Ch. 7. Large Sample Theory -- Ch. 8. Hierarchical Models -- Ch. 9. Sequential Analysis -- Appendix A: Measure and Integration Theory -- Appendix B: Probability Theory -- Appendix C: Mathematical Theorems Not Proven Here -- Appendix D: Summary of Distributions.
Summary: Commencing with chapters on probability models and the theory of sufficient statistics, the author covers decision theory, hypothesis testing, estimation, equivariance, large sample theory, hierarchical models, and finally, sequential analysis. Every chapter concludes with exercises which range in difficulty from the easy to the challenging. As a result, this textbook provides an excellent course in modern theoretical statistics.
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Item type Current library Call number Status Barcode
Books Books SNU LIBRARY 519.5 SCH (Browse shelf(Opens below)) Not For Loan 25191
Total holds: 0

Ch. 1. Probability Models --
Ch. 2. Sufficient Statistics --
Ch. 3. Decision Theory --
Ch. 4. Hypothesis Testing --
Ch. 5. Estimation --
Ch. 6. Equivariance --
Ch. 7. Large Sample Theory --
Ch. 8. Hierarchical Models --
Ch. 9. Sequential Analysis --
Appendix A: Measure and Integration Theory --
Appendix B: Probability Theory --
Appendix C: Mathematical Theorems Not Proven Here --
Appendix D: Summary of Distributions.

Commencing with chapters on probability models and the theory of sufficient statistics, the author covers decision theory, hypothesis testing, estimation, equivariance, large sample theory, hierarchical models, and finally, sequential analysis. Every chapter concludes with exercises which range in difficulty from the easy to the challenging. As a result, this textbook provides an excellent course in modern theoretical statistics.

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