1  3
Number of results to display per page
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 
STATS300C01
 Course
 STATS300C01  Theory of Statistics III
 Instructor(s)
 Romano, Joseph
 Lehmann, E. L. (Erich Leo), 19172009
 3rd ed.  New York : Springer, c2005.
 Description
 Book — xiv, 784 p.
 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)
STATS300C01
 Course
 STATS300C01  Theory of Statistics III
 Instructor(s)
 Romano, Joseph
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)
 Online

 Cambridge Core Access limited to one user.
 Google Books (Full view)
Green Library, Science Library (Li and Ma)
STATS300C01
 Course
 STATS300C01  Theory of Statistics III
 Instructor(s)
 Romano, Joseph