Estimation After Selection Under Reflected Normal Loss Function

DOI10.1080/03610926.2010.535630zbMath1237.62031OpenAlexW2031658686MaRDI QIDQ2884903

M. Naghizadeh Qomi, Ahmad Parsian, Nader Nematollahi

Publication date: 18 May 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2010.535630

zbMATH Keywords

normal distributionminimax estimatorsinadmissible estimators

Mathematics Subject Classification ID

Point estimation (62F10) Minimax procedures in statistical decision theory (62C20) Statistical ranking and selection procedures (62F07) Admissibility in statistical decision theory (62C15)

Related Items

Estimating the parameter of selected uniform population under the squared log error loss function ⋮ Admissible and minimax estimation of the parameters of the selected normal population in two-stage adaptive designs under reflected normal loss function ⋮ Bayesian wavelet Stein's unbiased risk estimation of multivariate normal distribution under reflected normal loss ⋮ Estimation of the slope parameter in a linear regression model under a bounded loss function ⋮ Estimating the parameters of a selected bivariate normal population ⋮ Empirical Bayes estimation for the mean of the selected normal population when there are additional data ⋮ Estimation of the location parameter and the average worth of the selected subset of two parameter exponential populations under LINEX loss function ⋮ Unnamed Item ⋮ Learning under \((1 + \epsilon)\)-moment conditions

Cites Work

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• A note on the estimation of the selected scale parameters
• Intrinsic losses
• Improving on equivariant estimators
• On some inadmissibility results for the scale parameters of selected gamma populations
• On estimating the scale parameter of the selected gamma population under the scale invariant squared error loss function
• A note on the estimation op the mean op the selected gamma population
• Estimation of the mean of the selected gamma population
• Estimation of the mean of the selected population
• The reflected normal loss function
• Estimation of the Scale Parameter of the Selected Gamma Population Under the Entropy Loss Function
• A Note on the Theory of Unbiassed Estimation
• Estimation of the mean of the selected population under asymmetric loss function

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