Mathematical Background * Convergence in Probability and in Law * Performance of Statistical Tests * Estimation* Multivariate Extensions * Nonparametric Estimation * Efficient Estimators and Tests *.
(source: Nielsen Book Data)
"Elements of Large Sample Theory" provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology written at an elementary level. The book is suitable for students at the Master's level in statistics and in applied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands, and the University of Chicago. (source: Nielsen Book Data)