Titre :	Theory of statistical inference and information
Type de document :	texte imprimé
Auteurs :	Igor Vajda, Auteur
Editeur :	Boston : Kluwer academic publishers
Année de publication :	1989
Collection :	Theory and decision library
Sous-collection :	Series B: Mathematical and statistical methods num. 11
Importance :	432 p.
Présentation :	ill.
Format :	25 cm
ISBN/ISSN/EAN :	978-90-277-2781-7
Note générale :	Trad. de : "Teória informácie a štatistického rozhodovania". Bibliogr. p. [404]-423. Index
Langues :	Anglais (eng)
Mots-clés :	Convex functions Mathematical statistics Information theory Fonctions convexes Statistique mathématique Information, Théorie de l'
Index. décimale :	519.72 Théorie de l'information: aspects mathématiques.
Résumé :	Theory of statistical inference and information contributes to the literature on mathematical statistics in two ways: (1) know methods are characterized in a generalized from using the results of convex analysis in spaces of measures, and (2) new methods are introduced and studied in light of the general mathematical background.
Note de contenu :	Contents: * Prerequisities. * Conditional probabilities and expectations. * Convex functions of real variables. * Supplements and examples. * Convex functions of measures. * Kantorovich- Vasershtein and related functions of measures. ...

Theory of statistical inference and information [texte imprimé] / Igor Vajda, Auteur . - Boston : Kluwer academic publishers, 1989 . - 432 p. : ill. ; 25 cm. - (Theory and decision library. Series B: Mathematical and statistical methods; 11) .
ISBN : 978-90-277-2781-7
Trad. de : "Teória informácie a štatistického rozhodovania".
Bibliogr. p. [404]-423. Index

Langues : Anglais (eng)

Mots-clés :	Convex functions Mathematical statistics Information theory Fonctions convexes Statistique mathématique Information, Théorie de l'
Index. décimale :	519.72 Théorie de l'information: aspects mathématiques.
Résumé :	Theory of statistical inference and information contributes to the literature on mathematical statistics in two ways: (1) know methods are characterized in a generalized from using the results of convex analysis in spaces of measures, and (2) new methods are introduced and studied in light of the general mathematical background.
Note de contenu :	Contents: * Prerequisities. * Conditional probabilities and expectations. * Convex functions of real variables. * Supplements and examples. * Convex functions of measures. * Kantorovich- Vasershtein and related functions of measures. ...