Authors: George Casella, Roger L. Berger, Roger L. Berger
ISBN-13: 9780534243128, ISBN-10: 0534243126
Format: Hardcover
Publisher: Cengage Learning
Date Published: June 2001
Edition: 2nd Edition
Intended for first-year graduate students specializing in statistics, this textbook seeks to build theoretical statistics from the first principles of probability theory. It covers the basics of probability theory and details major statistical principles, including sufficiency, likelihood, and invariance. It then outlines the methods of inference, estimation, and hypothesis testing. Special topics like asymptotic evaluations, analysis of variance and regression, and regression models are also discussed. Casella teaches at the University of Florida. Berger teaches at North Carolina State University.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
1 | Probability Theory | 1 |
2 | Transformations and Expectations | 47 |
3 | Common Families of Distributions | 85 |
4 | Multiple Random Variables | 139 |
5 | Properties of a Random Sample | 207 |
6 | Principles of Data Reduction | 271 |
7 | Point Estimation | 311 |
8 | Hypothesis Testing | 373 |
9 | Interval Estimation | 417 |
10 | Asymptotic Evaluations | 467 |
11 | Analysis of Variance and Regression | 521 |
12 | Regression Models | 577 |
App.: Computer Algebra | 613 | |
Table of Common Distributions | 627 | |
References | 629 | |
Author Index | 645 | |
Subject Index | 649 |