Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Author | : Yuri Ingster |
Publisher | : Springer Science & Business Media |
Total Pages | : 471 |
Release | : 2012-11-12 |
ISBN-10 | : 9780387215808 |
ISBN-13 | : 0387215808 |
Rating | : 4/5 (808 Downloads) |
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.