Estimating parameters of the gamma distribution easily and efficiently

DOI10.1080/03610926.2023.2241097MaRDI QIDQ6588656

Junmei Zhou, Unnamed Author

Publication date: 16 August 2024

Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)

Mathematics Subject Classification ID

Point estimation (62F10)

Cites Work

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• On new moment estimation of parameters of the gamma distribution using its characterization
• Reducing bias of the maximum likelihood estimator of shape parameter for the gamma distribution
• The maximum likelihood estimators of the parameters of the gamma distribution are always positively biased
• Improved maximum likelihood estimators for the gamma distribution
• Bayes estimation and prediction of the two-parameter gamma distribution
• On improved estimation of a gamma shape parameter
• Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias
• Further Remarks on Maximum Likelihood Estimators for the Gamma Distribution
• Quasimaximum Likelihood Estimators for Two-parameter Gamma Distributions
• A note on comparison and improvement of estimators based on likelihood
• Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
• Tolerance limits under gamma mixtures: application in hydrology

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