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Statistical Inference PDF

667 Pages·2001·34.617 MB·English
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by George (George Casella) Casella, Roger L. Berger| 2001| 667 pages| 34.617| English

About Statistical Inference

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.

Detailed Information

Author:George (George Casella) Casella, Roger L. Berger
Publication Year:2001
ISBN:9780534243128
Pages:667
Language:English
File Size:34.617
Format:PDF
Price:FREE
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