Department of Mathematics, Statistics and Computer Science, University of New Brunswick, P.O. Box 5050, Saint John NB, Canada.;Dept. Statistics, Panjab University, Chandigarh-160014, India.
Abstract:
Maximum likelihood estimates of ordered means of two normal distributions having common variance have been shown to be better than the usual maximum likelihood estimates (i.e. corresponding sample means) with respect to Pitman Nearness criterion. The maximum likelihood estimate of common variance taking into consideration the order restriction of the means is shown to have smaller mean square error than the unrestricted maximum likelihood estimate of the common variance. These two estimators have also been compared with respect to Pitman Nearness criterion.