VARIANCE UNBIASED ESTIMATION OF PARAMETERS IN NORMAL DISTRIBUTION

Abstract

Any method of estimation is subject to uncertainty and therefore we cannot expect to find any method of estimation for giving us a close estimate of the unknown parameters on every occasion and for every sample. Under such circumstances in this paper we discuss the estimation of statistical parameters of Normal distribution, which must be, the best estimated in the sense that it satisfies the criteria, which are intuitively desirable. We also discuss and suggest the theorem, which helps us to deal greatly in the existing research for functions of minimum variance unbiased estimators