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Testing Statistical Hypotheses (Springer Texts in Statistics) - Lehmann, Erich L. L. Romano, Joseph P.
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Lehmann, Erich L. L. Romano, Joseph P.:

Testing Statistical Hypotheses (Springer Texts in Statistics) - Paperback

2010, ISBN: 9781441931788

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 3rd ed. 2005, 800 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.43 kg, Verkaufsrang: 975495, Statistik, N… More...

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Testing Statistical Hypotheses (Springer Texts in Statistics) - Lehmann, Erich L. L. Romano, Joseph P.
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Lehmann, Erich L. L. Romano, Joseph P.:

Testing Statistical Hypotheses (Springer Texts in Statistics) - Paperback

2010, ISBN: 9781441931788

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 3rd ed. 2005, 800 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.43 kg, Verkaufsrang: 975495, Statistik, N… More...

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Testing Statistical Hypotheses (Springer Texts in Statistics) - Lehmann, Erich L. L. Romano, Joseph P.
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Lehmann, Erich L. L. Romano, Joseph P.:
Testing Statistical Hypotheses (Springer Texts in Statistics) - Paperback

2010

ISBN: 9781441931788

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 3rd ed. 2005, 800 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.43 kg, Verkaufsrang: 975495, Statistik, N… More...

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Testing Statistical Hypotheses (Springer Texts in Statistics) - Lehmann, Erich L.
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Lehmann, Erich L.:
Testing Statistical Hypotheses (Springer Texts in Statistics) - Paperback

2010, ISBN: 9781441931788

Mitwirkende: Romano, Joseph P. Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 3rd ed. 2005, 800 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.66 kg, Ver… More...

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Testing Statistical Hypotheses (Springer Texts in Statistics) - Lehmann, Erich L.
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Lehmann, Erich L.:
Testing Statistical Hypotheses (Springer Texts in Statistics) - Paperback

2010, ISBN: 9781441931788

Mitwirkende: Romano, Joseph P. Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 3rd ed. 2005, 800 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.66 kg, Ver… More...

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Details of the book
Testing Statistical Hypotheses (Springer Texts in Statistics)
Author:
Title:
ISBN:

1441931783


The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.

Details of the book - Testing Statistical Hypotheses (Springer Texts in Statistics)


EAN (ISBN-13): 9781441931788
ISBN (ISBN-10): 1441931783
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
800 Pages
Weight: 1,144 kg
Language: eng/Englisch

Book in our database since 2011-01-21T03:55:05-05:00 (New York)
Detail page last modified on 2024-01-02T05:31:33-05:00 (New York)
ISBN/EAN: 1441931783

ISBN - alternate spelling:
1-4419-3178-3, 978-1-4419-3178-8
Alternate spelling and related search-keywords:
Book author: romano, springer, lehmann erich, joseph lehmann, roman lehmann
Book title: testing statistical hypotheses, statistics, springer texts

Information from Publisher

Author: Erich L. Lehmann
Title: Springer Texts in Statistics; Testing Statistical Hypotheses
Publisher: Springer; Springer US
786 Pages
Publishing year: 2010-11-19
New York; NY; US
Printed / Made in
Language: English
76,99 € (DE)

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Excel; Resampling; Statistical Hypotheses; Statistical Theory; best fit; Statistical Theory and Methods; BB

Small-Sample Theory.- The General Decision Problem.- The Probability Background.- Uniformly Most Powerful Tests.- Unbiasedness: Theory and First Applications.- Unbiasedness: Applications to Normal Distributions; Confidence Intervals.- Invariance.- Linear Hypotheses.- The Minimax Principle.- Multiple Testing and Simultaneous Inference.- Conditional Inference.- Large-Sample Theory.- Basic Large Sample Theory.- Quadratic Mean Differentiable Families.- Large Sample Optimality.- Testing Goodness of Fit.- General Large Sample Methods.            
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