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Profile Likelihood Estimation of the Vulnerability P(X > v) and the Mixing Proportion p Parameters in the Gumbel Mixture Model

Abstract: This paper concerns to the problem of making inferences about the vulnerability = P(X > v) and the mixing proportion p parameters, when the random variable X is distributed as a mixture of two Gumbel distributions and v is a known fixed value. A profile lik

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The Distribution of a Linear Combination of Two Correlated Chi-Square Variables

Abstract: The distribution of the linear combination of two chi-square variables is known if the variables are independent. In this paper, we derive the distribution of positive linear combination of two chi-square variables when they are correlated through a bivariate

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Generalized Portmanteau Tests Based on Subspace Methods
Alfredo García-Hiernaux

Abstract: The problem of diagnostic checking is tackled from the perspective of the subspace methods. Two statistics are presented and their asymptotic distributions are derived under the null hypothesis. The procedures are devised to deal with univariate and multivari

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Testing Equality of Several Correlation Matrices

Abstract: In this article we show that the Kullback’s statistic for testing equality of several correlation matrices may be considered a modified likelihood ratio statistic when sampling from multivariate normal populations. We derive the asymptotic null distribution o

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Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure

Abstract: Segregation and matching are techniques to estimate variance components in mixed models. A question arising is whether segregation can be applied in situations where matching does not apply. Our motivation for this research relies on the fact that we want an

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Detection of Influential Observations in Semiparametric Regression Model
Semra Türkan Öniz Toktamis

Abstract: In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model. One of the approaches to measure the influence of an individual observation is to delete the obser

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Censored Bimodal Symmetric-Asymmetric Alpha-Power Model

Abstract: We introduce the censored bimodal symmetric-asymmetric alpha-power models to adjust censored data with bimodality and high levels of skewness and kurtosis. The moments corresponding are computed, the maximum likelihood estimation for the model parameters is c

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On an Improved Bayesian Item Count Technique Using Different Priors

Abstract: Item Count Technique (ICT) serves the purpose of estimating the proportion of the people with stigmatizing attributes using the indirect questioning method. An improved ICT has been recently proposed in the literature (not requiring two subsamples and hence f

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Bayesian Inference for Two-Parameter Gamma Distribution Assuming Different Noninformative Priors

Abstract: In this paper distinct prior distributions are derived in a Bayesian inference of the two-parameters Gamma distribution. Noniformative priors, such as Jeffreys, reference, MDIP, Tibshirani and an innovative prior based on the copula approach are investigated.

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Inference for the Weibull Distribution Based on Fuzzy Data

Abstract: Classical estimation procedures for the parameters of Weibull distribution are based on precise data. It is usually assumed that observed data are precise real numbers. However, some collected data might be imprecise and are represented in the form of fuzzy n

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Criterios de Evaluación
Criterios Básicos de Admisión Criterios Básicos de Admisión
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Criterios Altamente Valorados / Criterios Deseables Criterios Cualitativos
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Criterios Altamente Valorados Cuantitativos
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