Elements of Large-Sample Theory

Written by one of the main figures in twentieth century statistics, this book 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. The book is written at an elementary level making it accessible to most readers.

Inhalt

Mathematical Background Convergence in Probability and in Law Performance of Statistical Tests Estimation Multivariate Extensions Nonparametric Estimation Efficient Estimators and Tests *