Serviços Personalizados
Journal
Artigo
Indicadores
- Citado por SciELO
- Acessos
Links relacionados
- Citado por Google
- Similares em SciELO
- Similares em Google
Compartilhar
Revista Colombiana de Estadística
versão impressa ISSN 0120-1751
Resumo
ABID, MUHAMMAD; ABBAS, NASIR; ZAFAR NAZIR, HAFIZ e LIN, ZHENGYAN. Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters. Rev.Colomb.Estad. [online]. 2016, vol.39, n.1, pp.63-79. ISSN 0120-1751.
Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of the proposed mean ratio estimators, population correlation coefficient, coefficient of variation and the linear combinations of auxiliary variable have also been exploited. The properties associated with the proposed estimators are evaluated through bias and mean square errors. We also provide an empirical study for illustration and verification.
Palavras-chave : Bias; Correlation Coefficient; Coefficient of Variation; Hodges-Lehmann Estimator; Mean Square Error; Tri-Mean.