Introduction to mathematical statistics / Robert V. Hogg, Joseph W. McKean, Allen T. Craig.
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519.5 DIS 2011 Statistics and scientific method : | 519.5 DOI 2008 An introduction to generalized linear models / | 519.5 HOF 2009 A first course in Bayesian statistical methods / | 519.5 HOI 2005 Introduction to mathematical statistics / | 519.5 INT 2017 An introduction to statistical learning : | 519.5 JIL 2007 Linear and generalized linear mixed models and their applications / | 519.5 KAS 2002 The statistical analysis of failure time data / |
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.
AS
Tahur Ahmed
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