Overview
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.
- | Author: Anirban Dasgupta
- | Publisher: Springer
- | Publication Date: Mar 07, 2008
- | Number of Pages: 722 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 0387759700
- | ISBN-13: 9780387759708
