Efficient closed-form maximum a posteriori estimators for the gamma distribution

DOI10.1080/00949655.2017.1422503OpenAlexW2783443240MaRDI QIDQ4960597

Francisco Louzada, Pedro L. Ramos

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1422503

zbMATH Keywords

Bayesian analysisgamma distributionmaximum likelihood estimatorsclosed-form estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

The inverse weighted Lindley distribution: Properties, estimation and an application on a failure time data ⋮ Comparison of some interval estimation methods for the parameters of the gamma distribution ⋮ Some new results for the transmuted generalized gamma distribution ⋮ Maximum likelihood and maximum a posteriori estimators for the Riesz probability distribution ⋮ A Reparameterized Weighted Lindley Distribution: Properties, Estimation and Applications

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