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Nonparametric Goodness-of-Fit Testing Under Gaussian Models

Paperback Engels 2002 2003e druk 9780387955315
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Samenvatting

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 statisticians who are interesting in the theory of non-parametric statistical inference. It will be of interest to specialists who are dealing with applied non-parametric statistical problems relevant in signal detection and transmission and in technical and medical diagnostics among others.

Specificaties

ISBN13:9780387955315
Taal:Engels
Bindwijze:paperback
Aantal pagina's:457
Uitgever:Springer New York
Druk:2003

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Inhoudsopgave

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

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€ 192,99
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        Nonparametric Goodness-of-Fit Testing Under Gaussian Models