eBook - ePub

Statistical Inference

Name: Statistical Inference
ISBN: 9781040024027

George Casella,

Roger Berger,

565 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Statistical Inference

George Casella,

Roger Berger,

About this book

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.

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

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.

This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

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Yes, you can access Statistical Inference by George Casella,Roger Berger in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.