| dc.contributor.author | Jakperik, Dioggban | |
| dc.contributor.author | Otieno, Romanus Odhiambo | |
| dc.contributor.author | Otieno, George | |
| dc.date.accessioned | 2018-12-13T06:41:32Z | |
| dc.date.accessioned | 2020-02-06T14:01:21Z | |
| dc.date.available | 2018-12-13T06:41:32Z | |
| dc.date.available | 2020-02-06T14:01:21Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://repository.must.ac.ke/handle/123456789/964 | |
| dc.description.abstract | The need for a reliable and equitable means of measuring population disparity and providing guidelines on implementation of policy decisions has necessitated the search for a precise estimating scheme for poverty indicators. The existing methods for estimation of these indicators are inadequate. In this study, a multiplicative semiparametric bias reduction density function is proposed to offer robust estimators for these indicators by means of generalized linearization techniques. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Southern Africa Mathematical Sciences Association | en_US |
| dc.subject | Robust Variance estimation; poverty indicators; linearization techniques; multiplicative semiparametric bias reduction density estimator | en_US |
| dc.title | Robust Variance Estimation by Linearization Techniques for Poverty Indicators | en_US |
| dc.type | Article | en_US |
