Nonparametric Goodness-of-Fit Testing Under Gaussian Models

Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Author :
Publisher : Springer Science & Business Media
Total Pages : 471
Release :
ISBN-10 : 9780387215808
ISBN-13 : 0387215808
Rating : 4/5 (808 Downloads)

Book Synopsis Nonparametric Goodness-of-Fit Testing Under Gaussian Models by : Yuri Ingster

Download or read book Nonparametric Goodness-of-Fit Testing Under Gaussian Models written by Yuri Ingster and published by Springer Science & Business Media. This book was released on 2012-11-12 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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