Statistical inference

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Title:

Author:

Casella, George.

ISBN:

9780534243128

Personal Author:

Casella, George.

Edition:

2nd ed.

Publication Information:

Australia ; Pacific Grove, CA : Thomson Learning c2002.

Physical Description:

xxviii, 660 p. : ill. ; 25 cm.

Series:

Duxbury advanced series.

Series Title:

Duxbury advanced series.

Contents:

1. Probability Theory -- 2. Transformations and Expectations -- 3. Common Families of Distributions -- 4. Multiple Random Variables -- 5. Properties of a Random Sample -- 6. Principles of Data Reduction -- 7. Point Estimation -- 8. Hypothesis Testing -- 9. Interval Estimation -- 10. Asymptotic Evaluations -- 11. Analysis of Variance and Regression -- 12. Regression Models.

Subject Term:

Mathematical statistics.

Probabilities.

Added Author:

Berger, Roger L.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025528213	519.5 C337S 2002	1	Searching... Unknown

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Summary

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.