EM Algorithm for Mixture Distributions Model with Type-I Hybrid Censoring Scheme

EM Algorithm for Mixture Distributions Model with Type-I Hybrid Censoring Scheme

An expectation–maximization (EM) likelihood estimation procedure is proposed to obtain the maximum likelihood estimates of the parameters in a mixture distributions model based on type-I hybrid censored samples when the mixture proportions are unknown. Three bootstrap methods are applied to construc...

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Bibliographic Details
Main Authors: Tzong-Ru Tsai, Yuhlong Lio, Wei-Chen Ting
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Mathematics
Subjects:
bootstrap method
EM algorithm
maximum likelihood estimation
mixture distributions model
Monte Carlo simulation
Online Access:https://www.mdpi.com/2227-7390/9/19/2483

Internet

https://www.mdpi.com/2227-7390/9/19/2483

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