E-book – Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition, Kindle Edition (PDF Instant Download)
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Product details
ISBN-13: 978-1040024010
Author: George Casella, Roger Berger
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.
Please note: This is an Ebook, not a Paper Book or Audio Book!
Delivery: This can be downloaded immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC).
Quality: High Quality. No missing contents. Printable.
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