Title: Statistical Inference
Author: George Casella, Roger L. Berger
Press: CRC
ISBN: 9780534243128
Edition: 2nd
Introduction: This classic textbook 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. It covers all the topics from a standard inference course, including distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, and regression.
Digital Access
Full-text Availability: ProQuest Ebook Central (Online Trial)
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Physical Copy Information
Location: International Campus Library
Call Number: O212/LC2.2-2
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