Overview
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.
- | Author: Mark J. Schervish
- | Publisher: Springer
- | Publication Date: Aug 10, 1995
- | Number of Pages: 716 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 0387945466
- | ISBN-13: 9780387945460
