Author(s):
1. Toluwalase Janet Akingbade:
Department of Statistics University of Nsukka, Nigeria
2. Fabian C. Okafor:
Department of Statistics University of Nigeria, Nsukka, Nigeria
Abstract:
In this paper, we have suggested a class of ratio type estimators with a linear combination using two auxiliary variables with some known population mean of the study variable. The bias and the mean square error of the proposed estimators are derived. We identified sub-members of the class of ratio type estimators. The theoretical condition for which the the proposed the proposed estimators perform better than the sample mean, Olkin (1958) multivariate ratio, classical linear regression estimator, Singh(1965), Mohanty (1967) and Swain (2012) are derived. From the analysis, it is observed that the proposed estimators perform better than the sample mean and other existing ratio type estimators considered in this study.
Page(s):
329-340
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 15, Issue: 2, Year: 2019
Keywords:
bias
,
Mean square error
,
two auxiliary variables
,
Ratiotype estimator
References:
References are not available for this document.
Citations
Citations are not available for this document.