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1. Testing statistical hypotheses [2005]
 Lehmann, E. L. (Erich Leo), 19172009
 3rd ed.  New York : Springer Science+Business Media c2005.
 Description
 Book — xiv, 784 p. : ill. ; 25 cm.
 Summary

 The General Decision Problem. The Probability Background. Uniformly Most Powerful Tests. Unbiasedness: Theory and First Applications. Unbiasedness: Applications to Normal Distributions. Invariance. Linear Hypotheses. The Minimax Principle. Multiple Testing and Simultaneous Inference. Conditional Inference. Basic Large Sample Theory. Quadratic Mean Differentiable Families. Large Sample Optimality. Testing Goodness of Fit. General Large Sample Methods.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA277 .L425 2005  Unknown On reserve at Li and Ma Science Library 2hour loan 
STATS300B01
 Course
 STATS300B01  Theory of Statistics II
 Instructor(s)
 Diaconis, Persi
2. Theory of point estimation [1998]
 Lehmann, E. L. (Erich Leo), 19172009
 2nd ed. / E.L. Lehmann, George Casella.  New York : Springer, c1998.
 Description
 Book — xxvi, 589 p. : ill. ; 25 cm.
 Summary

 Preface to the Second Edition. Preface to the First Edition. List of Tables. List of Figures. List of Examples. Table of Notation. Preparations. Unbiasedness. Equivariance. Average Risk Optimality. Minimaxity and Admissibility. Asymptotic Optimality. References. Author Index. Subject Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA276.8 .L43 1998  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA276.8 .L43 1998  Unknown On reserve at Li and Ma Science Library 2hour loan 
STATS300B01
 Course
 STATS300B01  Theory of Statistics II
 Instructor(s)
 Diaconis, Persi
3. Asymptotic statistics [1998]
 Vaart, A. W. van der.
 Cambridge, UK ; New York, NY, USA : Cambridge University Press, 1998.
 Description
 Book — xv, 443 p. : ill. ; 26 cm.
 Summary

 1. Introduction
 2. Stochastic convergence
 3. The deltamethod
 4. Moment estimators
 5. M and Zestimators
 6. Contiguity
 7. Local asymptotic normality
 8. Efficiency of estimators
 9. Limits of experiments
 10. Bayes procedures
 11. Projections
 12. Ustatistics
 13. Rank, sign, and permutation statistics
 14. Relative efficiency of tests
 15. Efficiency of tests
 16. Likelihood ratio tests
 17. Chisquare tests
 18. Stochastic convergence in metric spaces
 19. Empirical processes
 20. The functional deltamethod
 21. Quantiles and order statistics
 22. Lstatistics
 23. The bootstrap
 24. Nonparametric density estimation
 25. Semiparametric models.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA276 .V22 1998  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA276 .V22 1998  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA276 .V22 1998  Unknown On reserve at Li and Ma Science Library 2hour loan 
STATS300B01
 Course
 STATS300B01  Theory of Statistics II
 Instructor(s)
 Diaconis, Persi