Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling
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Date
2014-06
Authors
Kung’u, John
Odongo, Leo
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific Research Publishing
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.
Keywords: Ratio-Cum-Product Estimator, Multiple Auxiliary Attributes, Single Phase Sampling, Bi-Serial
Correlation Coefficient
Description
http://dx.doi.org/10.4236/ojs.2014.44023
Keywords
Ratio-Cum-Product Estimator, Multiple Auxiliary Attributes, Single Phase Sampling, Bi-Serial Correlation Coefficient
Citation
Open Journal of Statistics, 2014, 4, pg. 239-245; http://www.scirp.org/journal/ojs, http://dx.doi.org/10.4236/ojs.2014.44023