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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Prif Awduron:	Tzong-Ru Tsai, Yuhlong Lio, Wei-Chen Ting
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2021-10-01
Cyfres:	Mathematics
Pynciau:	bootstrap method EM algorithm maximum likelihood estimation mixture distributions model Monte Carlo simulation
Mynediad Ar-lein:	https://www.mdpi.com/2227-7390/9/19/2483
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!