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Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Marcel Dekker Inc. | 2001The paper studies a class of tests based on disparities between the real-valued data and theoretical models resulting either from fixed partitions of the observation space, or from the partitions by the sample quantiles of fixed orders. In both [...]texto impreso
A divergence measure between discrete probability distributions introduced by Csiszar (1967) generalizes the Kullback-Leibler information and several other information measures considered in the literature. We introduce a weighted divergence whi[...]texto impreso
Pardo Llorente, Julio Ángel ; Menéndez, María Luisa ; Taneja, I.J. ; Pardo Llorente, Leandro | Marcel Dekker Inc. | 1993Taneja (1989) studied a unified (r,s)-entropy which includes as a particular case some of the known entropies.Based on this unified (r,s)-entropy, we have defined the average amount of information provided by an experiment X over the unknown par[...]texto impreso
The problem of modeling Bayesian networks with continuous nodes deals with discrete approximations and conditional linear Gaussian models. In this article we have considered the possibility of using the exponential power family as conditional pr[...]texto impreso
In this paper we describe 10 expressions of score and weighted tests, in such a way that the numerators and the denominators are completely specified, including always the possibility of tied observations. We establish the equivalence between sc[...]texto impreso
Gómez Sánchez-Manzano, Eusebio ; Gómez Villegas, Miguel A. ; Marín Diazaraque, Juan Miguel | Marcel Dekker Inc. | 2002-12-12This paper proposes a matrix variate generalization of the power exponential distribution family, which can be useful in generalizing statistical procedures in multivariate analysis and in designing robust alternatives to them. An example is add[...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Marcel Dekker Inc. | 1988Csiszar's phi-divergences of discrete distributions are extended to a more general class of disparity measures by restricting the convexity of functions phi(t), t > 0, to the local convexity at t = 1 and monotonicity on intervals (0, 1) and (1,[...]
