Maximum likelihood estimation of the parameters of student’s t Birnbaum-Saunders distribution: a comparative study

DOI10.1080/03610918.2019.1659359OpenAlexW2972164887MaRDI QIDQ5082856

Farouq Mohammad A. Alam, Narayanaswamy Balakrishnan

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1659359

zbMATH Keywords

EM algorithmmaximum likelihood estimationgeneralized Birnbaum-Saunders distributionscoring algorithm

Mathematics Subject Classification ID

Point estimation (62F10) Statistical distribution theory (62E99)

Related Items (1)

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Cites Work

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• A new family of life distributions based on the elliptically contoured distributions
• Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
• On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data
• Estimating the dimension of a model
• Shape and change point analyses of the Birnbaum-Saunders-\(t\) hazard rate and associated estimation
• On the existence and uniqueness of the maximum likelihood estimates of the parameters of Birnbaum–Saunders distribution based on Type-I, Type-II and hybrid censored samples
• Nonparametric Estimation from Incomplete Observations
• The EM Algorithm and Extensions, 2E
• Stochastic models of failure in random environments
• Birnbaum‐Saunders distribution: A review of models, analysis, and applications
• A new family of life distributions
• Estimation for a family of life distributions with applications to fatigue
• A new look at the statistical model identification

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