scientific article; zbMATH DE number 7499630

zbMath1483.62060MaRDI QIDQ5066200

Adarsha Kumar Jena, Manas Ranjan Tripathy, Nabendu Pal

Publication date: 29 March 2022

Full work available at URL: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n3-02.pdf

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

mean squared errorequivariant estimatormaximum likelihood estimatorcommon meanstochastic dominanceinadmissibilityPitman measure of closenessordered variancespercentage of relative risk

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference under constraints (62F30) Admissibility in statistical decision theory (62C15)

Cites Work

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• Estimating common standard deviation of two normal populations with ordered means
• Improved estimators for the common means of two normal distributions with ordered variances
• Testing on the common mean of several normal distributions
• A revisit to the common mean problem: comparing the maximum likelihood estimator with the Graybill-Deal estimator
• Universal domination and stochastic domination: Estimation simultaneously under a broad class of loss functions
• On estimating the common mean of two normal distributions
• Point and confidence estimation of a common mean and recovery of interblock information
• On estimation of the common mean of \(k\;(\geq 2)\) normal populations with order restricted variances
• Improving on equivariant estimators
• Generalized inferences on the common mean of several normal populations
• Estimation of location parameters from two linear models under normality
• A note on the common mean of two normal populations with order restricted variances
• A bayes method for estimating the common mean of two normal populations
• Combining independent normal Sample means by weighting With their standard errors
• On pitman nearness and variance of estimators
• Equivariant estimation of common mean of several normal populations
• Combining Unbiased Estimators

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