A note on comparison and improvement of estimators based on likelihood

DOI10.1080/02331888.2015.1032971zbMath1345.62047OpenAlexW2219365104MaRDI QIDQ5739660

I. Kaniovska, Alexander Yu. Zeigraev

Publication date: 19 July 2016

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2015.1032971

zbMATH Keywords

maximum likelihood estimatoradmissibilitymean-squared errorbias-corrected maximum likelihood estimatorsecond-order riskmaximum integrated likelihood estimator

Mathematics Subject Classification ID

Point estimation (62F10)

Cites Work

• Unnamed Item
• On the estimation of the shape parameter of the gamma distribution in second-order asymptotics
• A necessary and sufficient condition for second order admissibility with applications to Berkson's bioassay problem
• Maximum integrated likelihood estimator of the interest parameter when the nuisance parameter is location or scale
• On estimation of the shape parameter of the gamma distribution
• On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution
• Bias Reduction for the Maximum Likelihood Estimators of the Parameters in the Half-Logistic Distribution
• Improved maximum likelihood estimators for the gamma distribution
• Bias reduction of maximum likelihood estimates
• Inequalities for the gamma function
• ASYMPTOTIC DEFICIENCY OF THE JACKKNIFE ESTIMATOR
• Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution
• On improved estimation of a gamma shape parameter

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