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...
- 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
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. |
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