Statistical Inference on a Finite Mixture of Exponentiated Kumaraswamy-G Distributions with Progressive Type II Censoring Using Bladder Cancer Data

A new family of distributions called the mixture of the exponentiated Kumaraswamy-G (henceforth, in short, ExpKum-G) class is developed. We consider Weibull distribution as the baseline (G) distribution to propose and study this special sub-model, which we call the exponentiated Kumaraswamy Weibull...

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Detaylı Bibliyografya
Asıl Yazarlar:	Refah Alotaibi, Lamya A. Baharith, Ehab M. Almetwally, Mervat Khalifa, Indranil Ghosh, Hoda Rezk
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-08-01
Seri Bilgileri:	Mathematics
Konular:	Kumaraswamy-G distribution Bayesian approach finite mixture exponentiated Kumaraswamy Weibull distribution loss function progressive type II censoring
Online Erişim:	https://www.mdpi.com/2227-7390/10/15/2800
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Statistical Inference on a Finite Mixture of Exponentiated Kumaraswamy-G Distributions with Progressive Type II Censoring Using Bladder Cancer Data

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