Statistical Inference

Front Cover
Thomson Learning, 2002 - Mathematics - 660 pages
3 Reviews
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. Intended for first-year graduate students, this book can be used for students majoring in statistics 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.

From inside the book

What people are saying - Write a review

Review: Statistical Inference

User Review  - Omar - Goodreads

Not bad but also not overly special. Self-instruction will be tough, but the solution manual may assist with that. Proofs are sometimes not provided which can make that harder. If taking as part of a formal course, make sure to engage the Professor or instructor on those more difficult matters. Read full review

Review: Statistical Inference

User Review  - Yakov Zaytsev - Goodreads

Better than "All of Statistics" for probability refresher eg has good explanation of the Monty Hall Problem :-) Read full review

Contents

Probability Theory
1
Transformations and Expectations
47
Common Families of Distributions
85
Copyright

14 other sections not shown

Common terms and phrases

About the author (2002)

Casella, Cornell University, Ithaca, NY.

Bibliographic information