Nonparametric Goodness-of-Fit Testing Under Gaussian Models
Download or Read eBook Nonparametric Goodness-of-Fit Testing Under Gaussian Models PDF 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.
| Author | : Yuri Ingster |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 471 |
| Release | : 2012-11-12 |
| ISBN-10 | : 9780387215808 |
| ISBN-13 | : 0387215808 |
| Rating | : 4/5 (08 Downloads) |
Book Synopsis Nonparametric Goodness-of-Fit Testing Under Gaussian Models by : Yuri Ingster
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.
