Estimation of finite population parameters with auxiliary information and response error.
J Stat Theory Pract
; 8(4): 772-791, 2014 Oct 02.
Article
em En
| MEDLINE
| ID: mdl-25089123
We use a finite population mixed model that accommodates response error in the survey variable of interest and auxiliary information to obtain optimal estimators of population parameters from data collected via simple random sampling. We illustrate the method with the estimation of a regression coefficient and conduct a simulation study to compare the performance of the empirical version of the proposed estimator (obtained by replacing variance components with estimates) with that of the least squares estimator usually employed in such settings. The results suggest that when the auxiliary variable distribution is skewed, the proposed estimator has a smaller mean squared error.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
J Stat Theory Pract
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Colômbia
País de publicação:
Estados Unidos