Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks

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Autore principale: Hugo Andrés Gutiérrez
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2009
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author Hugo Andrés Gutiérrez
author_facet Hugo Andrés Gutiérrez
contents Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks Hugo Andrés Gutiérrez F. Jay Breidt Física, Astronomía y Matemáticas Wilcoxon score Finite population Regression estimator This paper presents a new regression estimator for the total of a population created by means of the minimization of a measure of dispersion and the use of the Wilcoxon scores. The use of a particular nonparametric model is considered in order to obtain a model-assisted estimator by means of the generalized difference estimator. First, an estimator of the vector of the regression coefficients for the finite population is presented and then, using the generalized difference principles, an estimator for the total a population is proposed. The study of the accuracy and efficiency measures, such as design bias and mean square error of the estimators, is carried out through simulation experiments. 2009 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89912230007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.32
format Artículo científico
id redalyc_89912230007
institution Redalyc
language en
publishDate 2009
publisher Universidad Nacional de Colombia
spellingShingle Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks
Hugo Andrés Gutiérrez
Física, Astronomía y Matemáticas
Wilcoxon score
Finite population
Regression estimator
Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks Hugo Andrés Gutiérrez F. Jay Breidt Física, Astronomía y Matemáticas Wilcoxon score Finite population Regression estimator This paper presents a new regression estimator for the total of a population created by means of the minimization of a measure of dispersion and the use of the Wilcoxon scores. The use of a particular nonparametric model is considered in order to obtain a model-assisted estimator by means of the generalized difference estimator. First, an estimator of the vector of the regression coefficients for the finite population is presented and then, using the generalized difference principles, an estimator for the total a population is proposed. The study of the accuracy and efficiency measures, such as design bias and mean square error of the estimators, is carried out through simulation experiments. 2009 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89912230007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.32
title Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks
topic Física, Astronomía y Matemáticas
Wilcoxon score
Finite population
Regression estimator
url https://www.redalyc.org/articulo.oa?id=89912230007