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Testing Statistical Hypotheses

E-BookPDFeBook
Verkaufsrang16198inMathematik
EUR74,89

Beschreibung

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.
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Details

Weitere ISBN/GTIN9780387276052
ProduktartE-Book
EinbandeBook
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erschienen am30.03.2006
Auflage3rd ed. 2005
ReiheSpringer Texts in Statistics
Seiten786 Seiten
SpracheEnglisch
IllustrationenXIV, 786 p.
Artikel-Nr.32838305
KatalogVC
Datenquelle-Nr.3810945
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Autor

E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Berkeley. He is 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 is the author of Elements of Large-Sample Theory and (with George Casella) he is also the author of Theory of Point Estimation, Second Edition.

Joseph P. Romano is Professor of Statistics at Stanford University. He is a recipient of a Presidential Young Investigator Award and a Fellow of the Institute of Mathematical Statistics. He has coauthored two other books, Subsampling with Dimitris Politis and Michael Wolf, and Counterexamples in Probability and Statistics with Andrew Siegel.