Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling
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Date
2014
Authors
Kung’u, John
Odongo, Leo
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific Research Publishing
Abstract
In this paper, we have proposed three classes of ratio-cum-product estimators for estimating population
mean of study variable for two-phase sampling using multi-auxiliary attributes for full information,
partial information and no information cases. The expressions for mean square errors
are derived. An empirical study is given to compare the performance of the estimator with the existing
estimator that utilizes auxiliary attribute or multiple auxiliary attributes. The ratio-
cum-product estimator in two-phase sampling for full information case has been found to be
more efficient than existing estimators and also ratio-cum-product estimator in two-phase sampling
for both partial and no information case. Finally, ratio-cum-product estimator in two-phase
sampling for partial information case has been found to be more efficient than ratio-cum-product
estimator in two-phase sampling for no information case
Description
Full article
Keywords
Two-Phase Sampling and Bi-Serial Correlation Coefficient, Multiple Auxiliary Attributes, Ratio-Cum-Product Estimator
Citation
Open Journal of Statistics, 2014, 4, 246-257