Comparison of the ratio estimate to the local linear polynomial estimate of finite population totals
| dc.contributor.author | Maua, Muga Zablon | |
| dc.contributor.author | Orwa, George Otieno | |
| dc.contributor.author | Otieno, Romanus Odhiambo | |
| dc.contributor.author | Odiwuor, Leo | |
| dc.date.accessioned | 2018-11-20T17:03:42Z | |
| dc.date.accessioned | 2020-02-06T13:15:08Z | |
| dc.date.available | 2018-11-20T17:03:42Z | |
| dc.date.available | 2020-02-06T13:15:08Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Maua, M. Z., Orwa, G. O., Otieno, R. O., & Odongo, L. O. (2013). Comparison of the ratio estimate to the local linear polynomial estimate of finite population totals. International Journal of Engineering, Science and Mathematics, 2(1), 185. | en_US |
| dc.identifier.uri | http://repository.must.ac.ke/handle/123456789/925 | |
| dc.description.abstract | In this paper, attempt to study effects of extreme observations on two estimators of finite population total theoretically and by simulation is made. We compare the ratio estimate with the local linear polynomial estimate of finite population total given different finite populations. Both classical and the non parametric estimator based on the local linear polynomial produce good results when the auxiliary and the study variables are highly correlated. It is however noted that in the presence of outlying observations the local linear polynomial performs better with respect to design mean square error (MSE) in all the artificial populations generated | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journals of Multidisciplinary Research Academy | en_US |
| dc.title | Comparison of the ratio estimate to the local linear polynomial estimate of finite population totals | en_US |
| dc.type | Article | en_US |
