%0 Journal Article
%T A note on Hammersley's inequality for estimating the normal integer mean
%A Rasul A. Khan
%J International Journal of Mathematics and Mathematical Sciences
%D 2003
%I Hindawi Publishing Corporation
%R 10.1155/s016117120320822x
%X Let X1,X2,…,Xn be a random sample from a normal N(θ,σ2) distribution with an unknown mean θ=0,±1,±2,…. Hammersley (1950) proposed the maximum likelihood estimator (MLE) d=[X¯n], nearest integer to the sample mean, as an unbiased estimator of θ and extended the Cramér-Rao inequality. The Hammersley lower bound for the variance of any unbiased estimator of θ is significantly improved, and the asymptotic (as n→∞) limit of Fraser-Guttman-Bhattacharyya bounds is also determined. A limiting property of a suitable distance is used to give some plausible explanations why such bounds cannot be attained. An almost uniformly minimum variance unbiased (UMVU) like property of d is exhibited.
%U http://www.hindawi.com/journals/ijmms/2003/314030/abs/