Bayesian estimation for Dagum distribution based on progressive type I interval censoring

In this paper, we consider Dagum distribution which is capable of modeling various shapes of failure rates and aging criteria. Based on progressively type-I interval censoring data, we first obtain the maximum likelihood estimators and the approximate confidence intervals of the unknown parameters o...

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Veröffentlicht in:	PloS one 2021-06, Vol.16 (6), p.e0252556-e0252556
Hauptverfasser:	Alotaibi, Refah, Rezk, Hoda, Dey, Sanku, Okasha, Hassan
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Bayesian analysis Confidence intervals Evaluation Experiments Income distribution Mathematical models Maximum likelihood estimators Monte Carlo simulation Normal distribution Physical Sciences Random variables Research and Analysis Methods Survival analysis
Online-Zugang:	Volltext
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