Estimation of the mean of the selected gamma population

DOI10.1080/03610928808829772zbMath0696.62103OpenAlexW2049251774MaRDI QIDQ3473082

Divakar Sharma, Palaniappan Vellaisamy

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829772

zbMATH Keywords

uniformly minimum variance unbiased estimatorminimax estimatorsestimation after selectionadmissible estimatorsnatural estimatorgamma populations

Mathematics Subject Classification ID

Point estimation (62F10) Statistical ranking and selection procedures (62F07)

Related Items (17)

Admissible and minimax estimation of the parameter of the selected Pareto population under squared log error loss function ⋮ Bootstrap corrections of treatment effect estimates following selection ⋮ Estimation After Selection Under Reflected Normal Loss Function ⋮ On some inadmissibility results for the scale parameters of selected gamma populations ⋮ A parametric bootstrap procedure to estimate the selected mean using censored data ⋮ A note on the estimation op the mean op the selected gamma population ⋮ Two stage conditionally unbiased estimators of the selected mean ⋮ Estimation of the scale parameter of a selected gamma population with unequal shape parameters under stein loss function ⋮ Estimating Average Worth of the Selected Subset from Two-Parameter Exponential Populations ⋮ Estimating parameters of a selected Pareto population ⋮ Estimation of regression coefficient of a selected population ⋮ Estimation after selection from gamma populations with unequal known shape parameters ⋮ Estimation of the Scale Parameter of the Selected Gamma Population Under the Entropy Loss Function ⋮ Estimation of hazard rate of a selected exponential population ⋮ On estimating the scale parameter of the selected gamma population under the scale invariant squared error loss function ⋮ Extension of a Two-Stage Conditionally Unbiased Estimator of the Selected Population to the Bivariate Normal Case ⋮ Unbiased estimation of the parameter of a selected binomial population

Cites Work

• Improving on equivariant estimators
• Estimation after subset selection from exponential populations
• Estimation of the Mean of the Selected Population
• On a Theorem of Bahadur and Goodman
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