Estimating the variance of a normal population by utilizing the information in a sample from a second related normal population

DOI10.1080/0094965031000104323zbMath1048.62023OpenAlexW2032486894MaRDI QIDQ4825493

Hani M. Samawi, Mohammad Fraiwan Al-Saleh

Publication date: 28 October 2004

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0094965031000104323

zbMATH Keywords

posteriortablesmean squared errorBayesian estimationpriorStein estimatorgeneralized Bayesnormal populationMehta and Gurland estimator

Mathematics Subject Classification ID

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

Related Items (1)

Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model

Cites Work

• Statistical decision theory. Foundations, concepts, and methods
• Double stage estimation of population variance
• Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean
• On utilizing information from a second sample in estimating variance
• Estimating one of two normal means when their difference is bounded

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