Offers a unified treatment of first-order large-sample theory. This book discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. It is suitable for students at the Master's level in statistics and in applied fie[...]
The second edition of this classic book will serve as a reference on mathematical statistics for graduate students and researchers in mathematical statistics. Many topics are presented which have been available only in journal form.[...]
This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures.[...]
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 [...]