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Theory of Statistics
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  • Title: Theory of Statistics
  • Author(s) James E. Gentle
  • Publisher: George Mason University (2020)
  • Hardcover/Paperback: N/A
  • eBook: PDF (925 pages)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

This book is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.

In addition, students at this level should acquire, or begin acquiring, a deep appreciation for the field, including its historical development and its relation to other areas of mathematics and science generally.

It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap.

About the Authors
  • James E. Gentle is an American statistician and author. He was a professor of statistics at George Mason University until his retirement in 2016. He is Co-Editor-in-Chief of Wiley Interdisciplinary Reviews: Computational Statistics[1] and Senior Editor of Communications in Statistics.
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