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附件中包含本书第一版英文版、第二版英文版、以及第二版中文版PDF文档。
Statistical Inference 2nd Edition
By George Casella, Roger Berger
ISBN 9781032593036
565 Pages
Published May 23, 2024
This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
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 natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.
Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations.
Features: The classic graduate-level textbook on statistical inference. Develops elements of statistical theory from first principles of probability. Written in a lucid style accessible to anyone with some background in calculus. Covers all key topics of a standard course in inference. Hundreds of examples throughout to aid understanding. Each chapter includes an extensive set of graduated exercises
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