Statistical inference

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Thomson Learning, 2002 - Business & Economics - 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  - Fleur_de_soie - Goodreads

Read this book because it is the text for our PhD Econometrics I course, also mainly because it is recommended by Professor D, so first comes his comments on the book. "The standard PhD level first ... Read full review

Review: Statistical Inference

User Review  - Cristina - Goodreads

I like how theorems and corollaries are presented, but I'm not crazy about the lack of proofs and some of the examples. This isn't a book from which I could very easily self-teach myself statistics ... Read full review

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Contents

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

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About the author (2002)

Casella, Cornell University, Ithaca, NY.

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