Title: Statistical Inference
Author: George Casella, Roger L. Berger
Press: Cengage Learning
ISBN: 9780534243128
Edition: 2nd
Introduction: 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.
Physical Copy Information
Location: International Campus Library - Textbook Shelf
Call Number: O212/LC2.1-2/ZJUI
Institute: ZJUI
Major: Electronics and Information, Artificial Intelligence, Energy and Power, Electrical Engineering, Transportation, Civil and Hydraulic Engineering
Course ID: 7123099
Course Title: Advanced Engineering Statistics