On improved estimation under additional information
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.
URI
http://www.tandfonline.com/doi/abs/10.1080/0020739880190410#.UcAAXNhl5m4http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/35288
Citation
International Journal of Mathematical Education in Science and Technology Volume 19, Issue 4, 1988Publisher
Taylor & Francis Department of Mathematics University of Nairobi