Nonparametric Goodness-of-Fit Testing Under Gaussian Models (Lecture Notes in Statistics) [Kindle-editie]

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.

De auteur:Yuri Ingster
Isbn 10:B000WEEG04
Uitgeverij:Springer; 2003 editie
Paperback boek:457
serie:Kindle-editie
gewicht Nonparametric Goodness-of-Fit Testing Under Gaussian Models (Lecture Notes in Statistics) [Kindle-editie]:6120 KB
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