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Statistical Inference
by George Casella and Roger L. Berger


Overview - 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.  Read more...

 
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More About Statistical Inference by George Casella; Roger L. Berger
 
 
 
Overview
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. This book can be used for readers 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.


This item is Non-Returnable.

 
Details
  • ISBN-13: 9780534243128
  • ISBN-10: 0534243126
  • Publisher: Cengage Learning
  • Publish Date: June 2001
  • Page Count: 688
  • Dimensions: 9.3 x 6.5 x 1.2 inches
  • Shipping Weight: 2.2 pounds


Related Categories

Books > Mathematics > Probability & Statistics - General

 
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