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Autor Pardo Llorente, Leandro |
Documentos disponibles escritos por este autor (104)
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Menéndez Calleja, María Luisa ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Elsevier Science BV | 2009-02-01In this paper we present recentered confidence sets for the parameters of a logistic regression model based on preliminary minimum phi-divergence estimators. Asymptotic coverage probabilities are given as well as a simulation study in order to a[...]![]()
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Muñoz García, Joaquín ; Muñoz Pichardo, Juan Manuel ; Pardo Llorente, Leandro | Elsevier science Bv. | 2006-07-20A sample version of the power-divergence measures of Cressie and Read is proposed for the influence analysis in the logistic regression model. Influence measures are obtained by quantifying the deviation between the sample distribution of an est[...]![]()
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Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Springer Verlag | 2001-07Assume that a sequence of observations x(1),...,x(n+r) can be treated as the sample values of a Markov chain of order r or less (chain in which the dependence extends over r+1 consecutive variables only), and consider the problem of testing the [...]![]()
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Martín Apaolaza, Níriam ; Morales González, Domingo ; Pardo Llorente, Leandro | Gordon & Breach | 2008-05-21In this article, we introduce minimum divergence estimators of parameters of a binary response model when data are subject to false-positive misclassification and obtained using a double-sampling plan. Under this set up, the problem of goodness-[...]![]()
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Landaburu Jiménez, María Elena ; Morales González, Domingo ; Pardo Llorente, Leandro | Springer Verlag | 2005-07The well-known chi-squared goodness-of-fit test for a multinomial distribution is generally biased when the observations are subject to misclassification. In Pardo and Zografos (2000) the problem was considered using a double sampling scheme and[...]![]()
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This paper studies the change-point problem for a general parametric, univariate or multivariate family of distributions. An information theoretic procedure is developed which is based on general divergence measures for testing the hypothesis of[...]![]()
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The problem of testing homogeneity in contingency tables when the data are spatially correlated is considered. We derive statistics defined as divergences between unrestricted and restricted estimated joint cell probabilities and we show that th[...]![]()
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Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro | Pergamon-Elsevier Science Ltd | 1997-09We consider a wide class of statistics, namely phi-divergences. We obtain asymptotic distributions of these statistics in nested models. Our result generalizes previous results in this field.![]()
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Balakrishnan, Narayanaswamy ; Martín, Nirian ; Pardo Llorente, Leandro | Taylor & Francis | 2015-09-03The main purpose of this paper is to introduce first a new family of empirical test statistics for testing a simple null hypothesis when the vector of parameters of interest is defined through a specific set of unbiased estimating functions. Thi[...]![]()
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Empirical phi-divergence test statistics have demostrated to be a useful technique for the simple null hypothesis to improve the finite sample behavior of the classical likelihood ratio test statistic, as well as for model misspecification probl[...]![]()
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Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Vadja, Igor | Springer Heidelberg | 2000-12A generalization of the Wald statistic for testing composite hypotheses is suggested for dependent data from exponential models which include Levy processes and diffusion fields. The generalized statistic is proved to be asymptotically chi-squar[...]![]()
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For some discrete state series, such as DNA sequences, it can often be postulated that its probabilistic behaviour is given by a Markov chain. For making the decision on whether or not an uncharacterized piece of DNA is part of the coding region[...]![]()
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The power divergence (PD) and the density power divergence (DPD) families have proven to be useful tools in the area of robust inference. In this paper, we consider a superfamily of divergences which contains both of these families as special ca[...]![]()
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In testing of hypothesis, the robustness of the tests is an important concern. Generally, the maximum likelihood-based tests are most efficient under standard regularity conditions, but they are highly non-robust even under small deviations from[...]![]()
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Landaburu Jiménez, María Elena ; Pardo Llorente, Leandro | Institute of Information Theory and Automation of the ASCR | 2000The aim of the paper is to present a test of goodness of fit with weigths in the classes based on weighted (h, phi)-divergences. This family of divergences generalizes in some sense the previous weighted divergences studied by Frank et al [5] an[...]