A SIMPLE AND EFFICIENT METHOD FOR FITTING THE THREE-PARAMETER GAMMA DISTRIBUTION TO GIVEN DATA

DOI10.17654/2277141722003zbMath1499.62028OpenAlexW4205546976MaRDI QIDQ5076076

Ouindllassida Jean-Etienne Ouédraogo

Publication date: 12 May 2022

Published in: Universal Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17654/2277141722003

zbMATH Keywords

order statisticsestimationboundsmaximum likelihooddifferential evolutionsearch spacethree-parameter gamma model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10)

Uses Software

• R
• DEoptim

Cites Work

• Parameter and quantile estimation for the three-parameter gamma distribution based on statistics invariant to unknown location
• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Bounds for the maximum likelihood estimates in two-parameter Gamma distribution
• Maximum likelihood estimation in a class of nonregular cases
• Introducing Monte Carlo Methods with R
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