Información del autor
Documentos disponibles escritos por este autor (104)
Añadir el resultado a su cesta Hacer una sugerencia Refinar búsqueda
texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Zografos, Konstantinos | Kybernetika | 2004In this paper we consider an exploratory canonical analysis approach for multinomial population based on the phi-divergence measure. We define the restricted minimum phi-divergence estimator, which is seen to be a generalization of the restricte[...]texto impreso
A new family of test statistics for testing linear hypotheses in baseline-category logit models is introduced and its asymptotic distribution is obtained. The new family is a natural extension of the classical likelihood ratio test. A simulation[...]texto impreso
Consider the loglinear model for categorical data under the assumption of multinomial sampling. We are interested in testing between various hypotheses on the parameter space when we have some hypotheses relating to the parameters of the models [...]texto impreso
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
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Emerald Group Publishing Limited | 1997Read (1984) presented an asymptotic expansion for the distribution function of the power divergence statistics whose speed of convergence is dependent on the parameter of the family. Generalizes that result by considering the family of ((h) unde[...]texto impreso
Weighted (h, phi) - divergence statistics are obtained by either replacing both distributions involved in the argument by their nonparametric estimators or replacing one distribution and considering the other as given. Asymptotic properties of w[...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Vadja, Igor | Blackwell | 1988-03For a wide class of goodness-of-fit statistics based on phi-divergences between hypothetical cell probabilities and observed relative frequencies, the asymptotic normality is established under the assumption n/m(n) --> gamma is an element of (0[...]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
The paper presents asymptotic distributions of phi-disparity goodness-of-fit statistics in product multinomial models, under hypotheses and alternatives assuming sparse and nonsparse cell frequencies. The phi-disparity statistics include the pow[...]texto impreso
In this paper the Bahadur efficiency in the family of phi-divergence statistics for goodness of fit in multinomial populations is studied.texto impreso
Batsidis, Apostolos ; Horvath, L. ; Martin, N. ; Pardo Llorente, Leandro ; Zografos, Konstantinos | Academic Press | 2013-07We propose two families of maximally selected phi-divergence tests to detect a change in the probability vectors of a sequence of multinomial random variables with possibly different sizes. In addition, the proposed statistics can be used to est[...]texto impreso
texto impreso
In this paper new families of test statistics are introduced and studied for the problem of comparing two treatments in terms of the likelihood ratio order. The considered families are based on phi-divergence measures and arise as natural extens[...]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
Castilla González, Elena ; Martín, Nirian ; Pardo Llorente, Leandro ; Zografos, Konstantinos | https://www.mdpi.com/ | 2017In this paper, a robust version of the Wald test statistic for composite likelihood is considered by using the composite minimum density power divergence estimator instead of the composite maximum likelihood estimator. This new family of test st[...]
