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Springer Texts in Statistics
cover

Testing Statistical Hypotheses

Volume II

Authors: Lehmann, Erich L., Romano, Joseph P.

  • Develops the foundations, principles, theory, and methods of hypothesis testing
  • Offers reorganized and expanded treatment of asymptotic theory in Volume II, including a new chapter on Central Limit Theorems for dependent random variables, an introduction to high-dimensional testing, and a more thorough treatment of permutation and randomization tests
  • Features over 100 new problems, bringing the total to approximately 900 problems across both volumes.
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イーブック ¥12,583
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: January 11, 2022
  • ISBN 978-3-030-70837-5
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
  • ebooks can be used on all reading devices
ハードカバー ¥15,729
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: January 11, 2022
  • ISBN 978-3-030-70836-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
この教本について

Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.

著者について

E.L. Lehmann (1917 – 2009) was an American statistician and professor of statistics at the University of California, Berkeley. He made significant contributions to nonparametric hypothesis testing, and he is one of the eponyms of the Lehmann-Scheffé theorem and of the Hodges-Lehmann estimator. Dr. Lehmann was a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands and the University of Chicago. He was the author of Elements of Large-Sample Theory (Springer 1999) and Theory of Point Estimation, Second Edition (Springer 1998, with George Casella).

Joseph P. Romano has been on faculty in the Statistics Department at Stanford since 1986. Since 2007, he has held a joint professorship appointment in both Statistics and Economics. He is a coauthor of three books, as well as over 100 journal articles. Dr. Romano was named NOGLSTP's 2021 LGBTQ+ Scientist of the Year, has been a recipient of the Presidential Young Investigator Award and many other grants from the National Science Foundation, and is a Fellow of the Institute of Mathematical Statistics and of the International Association of Applied Econometrics. His research has focused on such topics as: bootstrap and resampling methods, subsampling, randomization methods, inference, optimality, large-sample theory, nonparametrics, multiple hypothesis testing, and econometrics. He has invented or co-invented a variety of new statistical methods, including subsampling and the stationary bootstrap, as well as methods for multiple hypothesis testing. These methods have been applied to such diverse fields as clinical trials, climate change, finance, and economics.

書籍の購入

イーブック ¥12,583
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: January 11, 2022
  • ISBN 978-3-030-70837-5
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
  • ebooks can be used on all reading devices
ハードカバー ¥15,729
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: January 11, 2022
  • ISBN 978-3-030-70836-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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書誌情報

Bibliographic Information
Book Title
Testing Statistical Hypotheses
Book Subtitle
Volume II
Authors
Series Title
Springer Texts in Statistics
Copyright
2022
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
イーブック ISBN
978-3-030-70837-5
DOI
10.1007/978-3-030-70837-5
ハードカバー ISBN
978-3-030-70836-8
Series ISSN
1431-875X
Edition Number
4
Topics