On estimating the scale parameter of the selected gamma population under the scale invariant squared error loss function
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摘要
Let X1 and X2 be two independent random variables representing the populations Π1 and Π2, respectively, and suppose that the random variable Xi has a gamma distribution with shape parameter p, same for both the populations, and unknown scale parameter θi,i=1,2. Define, M=1, if X1>X2,M=2, if X2>X1 and J=3-M. We consider the component wise estimation of random parameters θM and θJ, under the scale invariant squared error loss functions L1(θ̲,δ1)=(δ1/θM-1)2 and L2(θ̲,δ2)=(δ2/θJ-1)2, respectively. Sufficient conditions for the inadmissibility of equivariant estimators of θM and θJ are derived. As a consequence, various natural estimators are shown to be inadmissible and better estimators are obtained.
论文关键词:Admissible estimators,Equivariant estimators,Inadmissible estimators,Natural selection rule,Scale invariant squared error loss function
论文评审过程:Received 11 October 2004, Revised 23 February 2005, Available online 23 May 2005.
论文官网地址:https://doi.org/10.1016/j.cam.2005.03.074