Estimating the Common Mean of Possibly Different Normal Populations: A Simulation Study

DOI10.2307/2287475zbMath0439.62024OpenAlexW4242474365MaRDI QIDQ3881723

J. N. K. Rao

Publication date: 1980

Full work available at URL: https://doi.org/10.2307/2287475

zbMATH Keywords

maximum likelihoodconfidence intervalcoverage probabilityefficiency comparisonexpected lengthestimating common meanjackknife t statisticMINQU estimatorspossibly different normal populations

Mathematics Subject Classification ID

Point estimation (62F10) Monte Carlo methods (65C05)

Related Items (7)

Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function ⋮ Jackknife inference for heteroscedastic linear regression models ⋮ On estimation of the common mean of \(k\;(\geq 2)\) normal populations with order restricted variances ⋮ Statistical aspects of linkage analysis in interlaboratory studies ⋮ Empirical likelihood inference for a common mean in the presence of heteroscedasticity ⋮ Double shrinkage estimation of common coefficients in two regression equations with hetersocedasticity ⋮ Inference for nested error linear regression models with unequal error variances

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