Statistical Inference

by George Casella, Roger L. Berger

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

Genres: Mathematics, Textbooks, Science, Technical, Nonfiction, Reference, Technology

660 pages, Hardcover

First published January 1, 2001

Reviews

[LY]

当年作死