Improved Linear Combination of Two Estimators for a Function of Interested Parameter

In this paper, we consider the problem of improving the efficiency of alinear combination of two estimators, when the population coefficient of variation is known. We generalized the discussion from the case of a parameter to a function of interested parameter. We show that two estimators obtained f...

Full description

Autores:
Fallah, Afshin
Khoshtarkib, Hamid
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/66512
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/66512
http://bdigital.unal.edu.co/67540/
Palabra clave:
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Coefficient of Variation
Shrinkage Estimator
Mean Squared Error
Linear Combination
Coeficiente de variación
Combinación lineal
Eficiencia
Error cuadrado medio.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:In this paper, we consider the problem of improving the efficiency of alinear combination of two estimators, when the population coefficient of variation is known. We generalized the discussion from the case of a parameter to a function of interested parameter. We show that two estimators obtained from improved linear combination of two estimators and linear combination of two improved estimators are equivalent, in terms of efficiency. We also show that, how one can construct an doubly-improved linear combination of two estimators, when the population coefficient of variation is known.