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Statistical Inference

  • Book
  • Jan 1, 2001
  • #Statistics #Math
George Casella
@GeorgeCasella
(Author)
Roger L. Berger
@RogerLBerger
(Author)
www.goodreads.com
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4.14/5 284 ratings
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1 Mention
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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 infer... Show More

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. Intended for first-year graduate students, this book can be used for students majoring in statistics 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.

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ISBN: 0534243126

ISBN-13: 9780534243128

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Kareem Carr | Data Scientist @kareem_carr ยท May 16, 2023
  • Curated in Best book recommendations for Statistics and Data Science
BEST FOR: People with a solid math background including linear algebra and a few calculus courses. We use this in my graduate program. It's a solid textbook that covers most of the basics.
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