Nonparametric goodness-of-fit testing under Gaussian models (Book, 2003) [WorldCat.org]
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Nonparametric goodness-of-fit testing under Gaussian models

Author: Yu I Ingster; I A Suslina
Publisher: New York : Springer, 2003.
Series: Lecture notes in statistics (Springer-Verlag), 169.
Edition/Format:   Print book : EnglishView all editions and formats
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This book presents the modern theory of nonparametric goodness-of-fit testing. It fills the gap in modern nonparametric statistical theory by discussing hypothesis testing and addresses mathematical  Read more...

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Document Type: Book
All Authors / Contributors: Yu I Ingster; I A Suslina
ISBN: 0387955313 9780387955315
OCLC Number: 807919381
Description: XIV, 452 p. ; 23 cm
Contents: Introduction * An Overview * Minimax Distinguishability * Sharp Asymptotics. I * Sharp Asymptotics. II * Gaussian Asymptotics for Power and Besov Norms * Adaptation for Power and Besov Norms * High-Dimensional Signal Detection * Appendix
Series Title: Lecture notes in statistics (Springer-Verlag), 169.
Responsibility: Yu. I. Ingster, I.A. Suslina.

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From the reviews:"The book is self-contained, and the bibliography is very rich and in fact provides a comprehensive listing of references about minimax testing (something that heretofore had been Read more...

 
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