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Autor Pardo Llorente, Leandro |
Documentos disponibles escritos por este autor (104)
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Menéndez, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Zografos, Konstantinos | Taylor & Francis | 2005-06Consider f(theta) to be a probability density function with parameter theta. A set of k populations can now be defined such that the ith population Pi(i) is the set of density functions f(theta 1(i)),...,f(theta mi(i)). This paper proposes a tes[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Marcel Dekker Inc | 2001In this paper we introduce a new measure for the analysis of association in cross-classifications having ordered categories. Association is measured in terms of the odd-ratios in 2 x 2 subtables formed from adjacent rows and adjacent columns. We[...]texto impreso
Morales González, Domingo ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen ; Vadja, Igor | Taylor & Francis | 2004-04We introduce a family of Renyi statistics of orders r is an element of R for testing composite hypotheses in general exponential models, as alternatives to the previously considered generalized likelihood ratio (GLR) statistic and generalized Wa[...]texto impreso
Renyi statistics are considered in a directed family of general exponential models. These statistics are defined as Renyi distances between estimated and hypothetical model. An asymptotically quadratic approximation to the Renyi Statistics is es[...]texto impreso
This paper introduces a median estimator of the logistic regression parameters. It is defined as the classical L-1-estimator applied to continuous data Z(1),..., Z(n) obtained by a statistical smoothing of the original binary logistic regression[...]texto impreso
Castilla González, Elena ; Ghosh, Abhik ; Martín Apaolaza, Nirian ; Pardo Llorente, Leandro | Springer | 2020-11-23Analyzing polytomous response from a complex survey scheme, like stratified or cluster sampling is very crucial in several socio-economics applications. We present a class of minimum quasi weighted density power divergence estimators for the pol[...]texto impreso
Statistical techniques are used in all branches of science to determine the feasibility of quantitative hypotheses. One of the most basic applications of statistical techniques in comparative analysis is the test of equality of two population me[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Leandro ; Tsairidis, Ch. ; Zografos, Konstantinos | Springer Heidelberg | 2003-09This paper is devoted to the statistical problem of ranking and selection populations by using the subset selection formulation. The interest is focused (i) on the selection of the best population among k independent populations and (ii) on the [...]texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Taylor & Francis | 2007The inference problem we consider is that of model choice from a nested sequence of binomial regression models. The approach we take is to test successively, from most general to most specific, the corresponding sequence of composite hypotheses.[...]texto impreso
Cressie, Noel A. ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Statistica sinica | 2003-04In this article, we assume that categorical data axe distributed according to a multinomial distribution whose probabilities follow a loglinear model. The inference problem we consider is that of hypothesis testing in a loglinear-model setting. [...]texto impreso
In Morales et al (1997) phi-divergence statistics were proposed for testing hypotheses in general populations. In this paper we present some approximations to the power function of these new tests statistics for the cases of the simple null hypo[...]texto impreso
The paper deals with simple and composite hypotheses in statistical models with i.i.d. observations and with arbitrary families dominated by a finite measures and parametrized by vector-valued variables. It introduces phi-divergence testing stat[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Elsevier Science | 1992-12-10In previous papers we have compared statistical experiments by considering unified scalar parametric generalizations of the Jensen difference divergence measure. In this paper we first introduce the generalized Jensen difference divergence measu[...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro ; Zografos, Konstantinos | Elsevier science Bv. | 1999-06-01We consider statistical data forming sequences of states of stationary finite irreducible Markov chains, and draw statistical inference about the transition matrix. The inference consists in estimation of parameters of transition probabilities a[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Korean Statistical Society | 2009-03-01In this paper we present a study of Stein-type estimators for the unknown parameters in logistic regression models when it is suspected that the parameters may be restricted to a subspace of the parameter space. The Stein-type estimators studied[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Elsevier Science | 1989-08-15In this paper we suggest and study a new selection criterion in order to compare probabilistic information systems when the available information from them is vague, in the sense that it might be considered as fuzzy information (Tanaka, Okuda an[...]texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Pardo Llorente, María del Carmen | Elsevier Science | 2006In this paper, we consider inference based on very general divergence measures under assumptions of a logistic regression model. We use the minimum phi-divergence estimator in a phi-divergence statistic, which is the basis of some new statistics[...]texto impreso
The family of density power divergences is an useful class which generates robust parameter estimates with high efficiency. None of these divergences require any non-parametric density estimate to carry out the inference procedure. However, thes[...]texto impreso
Pardo Llorente, Leandro ; Menéndez Calleja, María Luisa ; Pardo Llorente, María del Carmen ; Zografos, Konstantinos | Springer | 2011-03DNA or protein sequences are usually modeled as probabilistic phenomena. The simplest model is created on the assumption that the nucleotides at the various sites are independently distributed. Usually the type of nucleotide at some site depends[...]texto impreso
Menéndez Calleja, María Luisa ; Morales González, Domingo ; Pardo Llorente, Leandro | Elsevier | 2003-01-25Cubic contingency tables arise frequently in medical sciences when individuals are measured before, during and after the application of some treatment for a given illness, and data are recorded on an ordered categorical scale. By assigning incre[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Springer | 2001In this paper we introduce a family of test statistics for testing symmetry based on phi -divergcnce families. These test statistics yield the likelihood ratio test and the Pearson test statistic as special cases. Asymptotic distribution for the[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Leandro ; Zografos, Konstantinos | UTIL MATH Publ. Inc. | 2002-05Measures of phi-divergences are widely used as statistical tools for making inferences about a collection p(1), p(2),...,p(M) of multinomial parameters (Morales et al. (1995), Zografos et al. (1990), etc). Many such collections appearing in prac[...]texto impreso
Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro ; Menéndez Calleja, María Luisa ; Taneja, I.J. | Elsevier Science INC | 1993-09Taneja [14] studied a unified (r, s)-entropy that includes as a particular case some of the known entropies. Based on this unified (r, s)-entropy, Pardo et al. [8] defined the average amount of information provided by an experiment X over the un[...]texto impreso
Menéndez Calleja, María Luisa ; Pardo Llorente, Julio Ángel ; Pardo Llorente, Leandro | Elsevier Science | 2007In this paper we consider the family of phi-divergence test statistics, T-n(phi,S), for the problem of symmetry in I x I contingency tables whose asymptotic distribution is chi-square with I (I - 1)/2 degrees of freedom and we propose a moment-c[...]texto impreso