This unique book provides unmatched coverage of topics of interest to a
very broad spectrum of statisticians and also probabilists. The book can
be used in multiple roles. It can be used as a graduate text with a huge
choice of topics for the instructor, as an invaluable general purpose
reference, for independent reading by students and researchers, and for
getting an overview of the latest developments in some of the most
contemporary topics, such as false discovery, treatment of dependent
data, and the bootstrap. There is no other book in large sample theory
that matches this book in coverage, exercises and examples,
bibliography, and lucid conceptual discussion of issues and theorems.