Vaart, A.W. van der <br/><br/>
Asymptotic statistics 
A.W. van der Vaart 
 - New Delhi  Cambridge  2007 
 - 443p.  P.B. 
 - Cambridge series in statistical and probabilistic mathematics  .
<br/><br/> Table of Contents<br/>1. Introduction<br/>2. Stochastic convergence<br/>3. The delta-method<br/>4. Moment estimators<br/>5. M- and Z-estimators<br/>6. Contiguity<br/>7. Local asymptotic normality<br/>8. Efficiency of estimators<br/>9. Limits of experiments<br/>10. Bayes procedures<br/>11. Projections<br/>12. U-statistics<br/>13. Rank, sign, and permutation statistics<br/>14. Relative efficiency of tests<br/>15. Efficiency of tests<br/>16. Likelihood ratio tests<br/>17. Chi-square tests<br/>18. Stochastic convergence in metric spaces<br/>19. Empirical processes<br/>20. The functional delta-method<br/>21. Quantiles and order statistics<br/>22. L-statistics<br/>23. The bootstrap<br/>24. Non parametric density estimation<br/>25. Semi parametric models.<br/><br/>includes index<br/><br/> 
<br/><br/><label>ISBN: </label>9780521784504 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics--Asymptotic theory<br/>Asymptotic efficiencies (Statistics)
<br/><br/><label>Dewey Class. No.: </label>R 519.5 VAA(ASY)