Treffer: Multiparametric statistics
Titel:
Multiparametric statistics / Vadim I. Serdobolskii
Beteiligt:
Veröffentlicht:
Amsterdam [u.a.] : Elsevier, c2008
Umfang:
1 Online-Ressource (xvii, 315 p.)
Format:
Sprache:
Englisch
Anmerkungen:
Includes bibliographical references and index
Title from e-book title screen (viewed Jan. 16, 2008)
This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called "essentially multiparametric". It is developed on the basis of the Kolmogorov asymptotic approach in which sample size increases along with the number of unknown parameters. This theory opens a way for solution of central problems of multivariate statistics, which up until now have not been solved.
Title from e-book title screen (viewed Jan. 16, 2008)
This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called "essentially multiparametric". It is developed on the basis of the Kolmogorov asymptotic approach in which sample size increases along with the number of unknown parameters. This theory opens a way for solution of central problems of multivariate statistics, which up until now have not been solved.
Vorliegende Ausgabe:
Online-Ausg.: Amsterdam : Elsevier Sciencedirect. - Online-Ressource. - (Elsevier e-book collection on ScienceDirect)
ISBN:
0444530495 ; 6611096299 ; 9780444530493 ; 9786611096298