| dc.contributor.author | Odhiambo, JW | |
| dc.contributor.author | Koske, J | |
| dc.date.accessioned | 2013-06-18T06:44:56Z | |
| dc.date.available | 2013-06-18T06:44:56Z | |
| dc.date.issued | 1988 | |
| dc.identifier.citation | International Journal of Mathematical Education in Science and Technology Volume 19, Issue 4, 1988 | en |
| dc.identifier.uri | http://www.tandfonline.com/doi/abs/10.1080/0020739880190410#.UcAAXNhl5m4 | |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/35288 | |
| dc.description.abstract | An improvement of the ordinary least squares estimator of the regression vector in a univariate linear model is obtained. This is done by combining observed data with prior information and other additional information. Important features include admissibility in the unrestricted and restricted cases. | en |
| dc.language.iso | en | en |
| dc.publisher | Taylor & Francis | en |
| dc.title | On improved estimation under additional information | en |
| dc.type | Article | en |
| local.publisher | Department of Mathematics University of Nairobi | en |
