| dc.contributor.author | Kung’u, John | |
| dc.contributor.author | Odongo, Leo | |
| dc.date.accessioned | 2018-02-09T12:20:37Z | |
| dc.date.available | 2018-02-09T12:20:37Z | |
| dc.date.issued | 2014-06 | |
| dc.identifier.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 | en_US |
| dc.identifier.uri | http://ir-library.ku.ac.ke/handle/123456789/18197 | |
| dc.description | http://dx.doi.org/10.4236/ojs.2014.44023 | en_US |
| dc.description.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 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Scientific Research Publishing | en_US |
| dc.subject | Ratio-Cum-Product Estimator | en_US |
| dc.subject | Multiple Auxiliary Attributes | en_US |
| dc.subject | Single Phase Sampling | en_US |
| dc.subject | Bi-Serial Correlation Coefficient | en_US |
| dc.title | Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling | en_US |
| dc.type | Article | en_US |
