Springer Texts in Statistics
cover

Testing Statistical Hypotheses

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

  • Develops the foundations, principles, theory, and methods of hypothesis testing
  • Offers new coverage of multiple hypothesis testing, high-dimensional testing, permutation, and more
  • Features over 100 new problems, bringing the total to approximately 900 problems across both volumes.
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Dieses Buch kaufen

eBook 96,29 €
Preis für Deutschland (Brutto)
  • Die eBook-Version des Titels ist in Kürze verfügbar
  • Erscheinungstermin: 11. November 2021
  • ISBN 978-3-030-70578-7
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate:
  • eBooks sind auf allen Endgeräten nutzbar
Hardcover 128,39 €
Preis für Deutschland (Brutto)
Über dieses Lehrbuch

Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work. 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.

Über die Autor*innen

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.

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Dieses Buch kaufen

eBook 96,29 €
Preis für Deutschland (Brutto)
  • Die eBook-Version des Titels ist in Kürze verfügbar
  • Erscheinungstermin: 11. November 2021
  • ISBN 978-3-030-70578-7
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate:
  • eBooks sind auf allen Endgeräten nutzbar
Hardcover 128,39 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Testing Statistical Hypotheses
Autoren
Titel der Buchreihe
Springer Texts in Statistics
Copyright
2021
Verlag
Springer International Publishing
Copyright Inhaber
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-70578-7
DOI
10.1007/978-3-030-70578-7
Hardcover ISBN
978-3-030-70577-0
Buchreihen ISSN
1431-875X
Auflage
4
Seitenzahl
XIV, 910
Anzahl der Bilder
7 schwarz-weiß Abbildungen, 6 Abbildungen in Farbe
Themen