Nonparametric Goodness-of-Fit Testing Under Gaussian Models e-bog
1313,81 DKK
(inkl. moms 1642,26 DKK)
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 releva...
E-bog
1313,81 DKK
Forlag
Springer
Udgivet
12 november 2012
Genrer
Probability and statistics
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9780387215808
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.