In this paper, a problem of estimating the finite population mean in two phase sampling when information regarding the population proportion possessing certain attributes is considered. Under simple random sampling without replacement scheme, the expressions for mean square error of the proposed estimators have been obtained, up to the first order of approximation. The conditions under which the proposed estimators are more efficient than the mean per unit estimator have also been obtained. The gains in efficiency over the existing ones have been illustrated numerically.
Copy the following to cite this article:
MONIKA SAINI, "A Family of Estimators of Population Mean with Two Phase Sampling Subject to Auxiliary Information is Attribute", Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 2, Page Number , 2016Copy the following to cite this URL:
MONIKA SAINI, "A Family of Estimators of Population Mean with Two Phase Sampling Subject to Auxiliary Information is Attribute", Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 2, Page Number , 2016Available from: http://ultraphysicalsciences.org/paper/206/
