Testing Statistical Hypotheses

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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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ReiheSpringer Texts in Statistics
ISBN 9783030705770
Sprache Englisch
Ausgabe 4th ed. 2022
Erscheinungsdatum 24.06.2022
Umfang 1012 Seiten
Genre Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Format Hardcover
Verlag Springer International Publishing
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