Statistical Inference

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Thomson Learning, 2002 - 660 Seiten
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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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Inhalt

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

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Über den Autor (2002)

Casella, Cornell University, Ithaca, NY.

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