COMPARAÇÃO DE MÉTODOS DE ESTIMAÇÃO EM UM MODELO LINEAR SIMPLES COM ERRO NAS VARIÁVEIS

Although the researcher is very careful errors experiment may bepresent, therefore, is appropriate to evaluate the reliability of data, mainlywhen different estimation methods are used. Considering this problem,the objective of this work is compare the performance of two methods ofestimation known a...

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Bibliographic Details
Published inCiência e natura Vol. 32; no. 2; p. 23
Main Authors Almeida de Oliveira, Tiago, Augusto Ramalho de Moraes, Cirillo, Marcelo Angelo
Format Journal Article
LanguagePortuguese
Published Santa Maria Universidade Federal de Santa Maria - Centro de Ciências Naturais e Exatas 01.07.2010
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Summary:Although the researcher is very careful errors experiment may bepresent, therefore, is appropriate to evaluate the reliability of data, mainlywhen different estimation methods are used. Considering this problem,the objective of this work is compare the performance of two methods ofestimation known as "Plug-in" and "Attenuation bias". These methodsare used in the regression model with errors-in-variables techniques. TheMonte-Carlo simulations are used for generated a linear regression modelerrors-in-variables, different sample sizes, residuals distributions and lackof fit were considered. It was possible to conclude that, "Plug-in " and "Attenuation bias" methods were accurate with R2=90%, however, thesemethods have better accuracy for symmetrical distributions.
ISSN:0100-8307
2179-460X