TITLE:
Ratio-Cum-Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling
AUTHORS:
John Kung’u, Leo Odongo
KEYWORDS:
Ratio-Cum-Product Estimator, Multiple Auxiliary Attributes, Single Phase Sampling, Bi-Serial Correlation Coefficient
JOURNAL NAME:
Open Journal of Statistics,
Vol.4 No.4,
June
20,
2014
ABSTRACT: In this paper, we
have proposed a class of ratio-cum-product estimator for estimating population
mean of study variable for single phase sampling using multi-auxiliary
attributes. The expressions for mean square error are derived. An empirical
study is given to compare the performance of the estimator with existing
estimators. It has been found that the ratio-cum-product estimator using
multiple auxiliary attributes is more efficient than mean per unit, product and
ratio estimators using one auxiliary attribute, and Product and Ratio
estimators using multiple auxiliary attributes in single phase sampling.