A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations

DOI10.1080/00031305.2018.1513376OpenAlexW2889450932MaRDI QIDQ5868184

Eduardo Ramos, Francisco Louzada, Pedro L. Ramos

Publication date: 20 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2018.1513376

zbMATH Keywords

bias correctiontwo-parameter gamma distributionimprove estimators

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

New closed-form estimator and its properties ⋮ A score-adjusted approach to closed-form estimators for the gamma and beta distributions ⋮ Closed-form and bias-corrected estimators for the bivariate gamma distribution ⋮ Closed-form estimators and bias-corrected estimators for the Nakagami distribution

Cites Work

• Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution
• Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
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