Dependence relation between random variables is one of the most widely studied topics in probability theory and statistics. Unless specific assumptions are made about the dependence, no meaningful statistical model can be constructed. Dependence structure between random variables is generally complex and the single scalar dependence measures cannot be adequate to explain the natural association between them. With this motivation, a new local dependence function characterizing dependence structure between two random variables in an epsilon-neighbourhood of particular point from the domain of underlying bivariate distribution is introduced and its properties are investigated. Examples for the local dependence function of some bivariate distributions are provided. Also, local numerical characteristics of random variables are introduced and their properties are investigated. Local characteristics of some distributions are also examined. The text mainly provides a detailed overview of the dependence concept.In addition to explaining the theoretical concept of dependence, it also includes practical discussions.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dependence relation between random variables is one of the most widely studied topics in probability theory and statistics. Unless specific assumptions are made about the dependence, no meaningful statistical model can be constructed. Dependence structure between random variables is generally complex and the single scalar dependence measures cannot be adequate to explain the natural association between them. With this motivation, a new local dependence function characterizing dependence structure between two random variables in an epsilon-neighbourhood of particular point from the domain of underlying bivariate distribution is introduced and its properties are investigated. Examples for the local dependence function of some bivariate distributions are provided. Also, local numerical characteristics of random variables are introduced and their properties are investigated. Local characteristics of some distributions are also examined. The text mainly provides a detailed overview of the dependence concept.In addition to explaining the theoretical concept of dependence, it also includes practical discussions. 108 pp. Englisch. N° de réf. du vendeur 9783838350769
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dependence relation between random variables is one of the most widely studied topics in probability theory and statistics. Unless specific assumptions are made about the dependence, no meaningful statistical model can be constructed. Dependence structure between random variables is generally complex and the single scalar dependence measures cannot be adequate to explain the natural association between them. With this motivation, a new local dependence function characterizing dependence structure between two random variables in an epsilon-neighbourhood of particular point from the domain of underlying bivariate distribution is introduced and its properties are investigated. Examples for the local dependence function of some bivariate distributions are provided. Also, local numerical characteristics of random variables are introduced and their properties are investigated. Local characteristics of some distributions are also examined. The text mainly provides a detailed overview of the dependence concept.In addition to explaining the theoretical concept of dependence, it also includes practical discussions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783838350769
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dependence relation between random variables is one of the most widely studied topics in probability theory and statistics. Unless specific assumptions are made about the dependence, no meaningful statistical model can be constructed. Dependence structure between random variables is generally complex and the single scalar dependence measures cannot be adequate to explain the natural association between them. With this motivation, a new local dependence function characterizing dependence structure between two random variables in an epsilon-neighbourhood of particular point from the domain of underlying bivariate distribution is introduced and its properties are investigated. Examples for the local dependence function of some bivariate distributions are provided. Also, local numerical characteristics of random variables are introduced and their properties are investigated. Local characteristics of some distributions are also examined. The text mainly provides a detailed overview of the dependence concept.In addition to explaining the theoretical concept of dependence, it also includes practical discussions. N° de réf. du vendeur 9783838350769
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Local Dependence Measures, Properties and Applications | Concepts and Methods | Burcu Üçer (u. a.) | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783838350769 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101208607
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA80038383507666
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