First and second order asymptotic efficiencies of estimators
C. Radhakrishna Rao (1962)
Annales scientifiques de l'Université de Clermont. Mathématiques
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C. Radhakrishna Rao (1962)
Annales scientifiques de l'Université de Clermont. Mathématiques
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R. Zieliński (1987)
Applicationes Mathematicae
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Julio A. Pardo, Leandro Pardo, María Del Carmen Pardo, K. Zografos (2004)
Kybernetika
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In this paper we consider an exploratory canonical analysis approach for multinomial population based on the -divergence measure. We define the restricted minimum -divergence estimator, which is seen to be a generalization of the restricted maximum likelihood estimator. This estimator is then used in -divergence goodness-of-fit statistics which is the basis of two new families of statistics for solving the problem of selecting the number of significant correlations as well as the...
Rippon, Paul, Rayner, J.C.W. (2010)
Advances in Decision Sciences
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Rafaela Dios Palomares, Antonio Ramos Millán, José Angel Roldán-Casas (2002)
Qüestiió
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This study seeks to analyse some important questions related to the Stochastic Frontier Model, such as the method proposed by Jondrow et al (1982) to separate the error term into its two components, and the measure of efficiency given by Timmer (1971). To this purpose, a Monte Carlo experiment has been carried out using the Half-Normal and Normal-Exponential specifications throughout the rank of the γ parameter. The estimation errors have been eliminated, so that the intrinsic variability...
Alex Costa, Albert Satorra, Eva Ventura (2006)
SORT
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A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour...
Tiago de Oliveira, J. (1965)
Portugaliae mathematica
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