Bayesian estimation of mean and square of mean of normal distribution using linex loss function

DOI10.1080/03610929208830985zbMath0777.62033OpenAlexW2158837049MaRDI QIDQ4202664

Omkar Rai, B. N. Pandey

Publication date: 12 October 1993

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

Full work available at URL: https://doi.org/10.1080/03610929208830985

zbMATH Keywords

shrinkage estimationBayes risksmeannormal distributionsquared error lossLINEX lossBayes estimatorsUMVUErisk functionssquare mean

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15)

Related Items (11)

Bayesian Estimation for the Exponentiated Weibull Model ⋮ AN ESTIMATION PROCEDURE FOR ERROR VARIANCE INCORPORATING PTS FOR RANDOM EFFECTS MODEL UNDER LINEX LOSS FUNCTION ⋮ Testimator of the scale parameter of the exponential distribution using linex loss function ⋮ ADMISSIBILITY OF BAYES ESTIMATES UNDER BLINEX LOSS FOR THE NORMAL MEAN PROBLEM ⋮ Observed Data Based Estimator and Both Observed Data and Prior Information Based Estimator Under Asymmetric Losses ⋮ Point estimation under asymmetric loss functions for left-truncated exponential samples ⋮ A some times pool estimator of mean life under linex loss function¹ ⋮ Selection of suitable prior for the Bayesian mixture of a class of lifetime distributions under type-I censored datasets ⋮ Bayes and stein estimation under asymmetric loss functions:a numerical risk comparison ⋮ Improved estimation in regression with varying penalty ⋮ Shrinkage Testimators for the Shape Parameter of Pareto Distribution Using LINEX Loss Function

Cites Work

• Bayesian Estimation and Prediction Using Asymmetric Loss Functions
• A Simple Method for Improving some Estimators
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