Statistical Inference, 2nd Edition

Book Details

• Author: George Casella

• Publisher: Cengage Learning

• Language: English

• Edition: 1st Edition

• ISBN: 9788131503942

• Binding: Paperback

• Number of Pages: 700

• Release Date: December 1, 2007

• Package Dimensions: 9.4 x 6.4 x 1.1 inches

About The Book

Statistical Inference by George Casella is a comprehensive introduction to the theory of statistical inference, specifically designed for first-year graduate students. The book builds on the fundamentals of probability theory, using techniques and definitions that naturally extend from basic concepts to the advanced theories of statistical inference. It is an ideal resource for students majoring in statistics who possess a solid mathematical background.

This book is particularly useful for students who want to understand the theoretical underpinnings of statistics while also applying those principles to practical situations. Casella’s approach is less focused on formal optimality investigations and more on understanding core statistical concepts and deriving reasonable procedures for various statistical problems.

Key Features:

• Covers new topics such as random number generation, simulation methods, bootstrapping, the EM algorithm, p-values, and robustness.

• Includes new sections on Logistic Regression and Robust Regression.

• Restructured material for enhanced clarity.

• Updated and expanded exercises to reinforce learning and understanding.

This book is perfect for graduate students and researchers who wish to gain a deeper understanding of statistical inference while also gaining insight into its practical applications. Whether you're focused on theoretical aspects or looking for more applied statistical methods, Statistical Inference provides a balanced approach to mastering statistical theory.