Nonparametric Goodness Of Fit Testing Under Gaussian Models
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Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Author | : Yuri Ingster |
Publisher | : Springer Science & Business Media |
Total Pages | : 471 |
Release | : 2012-11-12 |
Genre | : Mathematics |
ISBN | : 0387215808 |
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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 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.