Closed-form estimators and bias-corrected estimators for the Nakagami distribution

DOI10.1016/j.matcom.2020.12.026OpenAlexW3120951240MaRDI QIDQ2661405

Yanyan Li

Publication date: 7 April 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2020.12.026

zbMATH Keywords

MLEbias-corrected estimatorclosed-form estimatorNakagami distribution

Mathematics Subject Classification ID

Statistics (62-XX) Probability theory and stochastic processes (60-XX)

Related Items (4)

New closed-form estimator and its properties ⋮ Closed-form and bias-corrected estimators for the bivariate gamma distribution ⋮ New closed-form efficient estimators for a bivariate Weibull distribution ⋮ New closed‐form efficient estimator for multivariate gamma distribution

Uses Software

• VGAM

Cites Work

• Unnamed Item
• Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution
• A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations
• Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations

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