Nonparametric Goodness-of-Fit Testing Under Gaussian Models (e-bog) af Suslina, I.A.
Suslina, I.A. (forfatter)

Nonparametric Goodness-of-Fit Testing Under Gaussian Models e-bog

1642,26 DKK (ekskl. moms 1313,81 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 relevant…
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.
E-bog 1642,26 DKK
Forfattere Suslina, I.A. (forfatter)
Forlag Springer
Udgivet 12.11.2012
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.