Statistical Inference

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Thomson Learning, 2002 - Mathematics - 660 pages
6 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.

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Review: Statistical Inference

User Review  - Bowei - Goodreads

This book is one of my major reference books for statistical studies. It introduces basic statistical methods in details and is easy to read. Read full 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


Probability Theory
Transformations and Expectations
Common Families of Distributions

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About the author (2002)

Casella, Cornell University, Ithaca, NY.

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