Parameters Estimation Of Rayleigh Distribution In Survival Analysis On Type Ii Censored Data Using The Bayesian Method

This research aims to determine the estimation of Rayleigh's distribution parameters on the data survival analysis of type II of tuberculosis patients. The method used in this research is the Bayesian method to perform estimate parameters. The process estimation parameter using the Bayesian met...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-07, Vol.1503 (1), p.12004
Main Authors: Elviana, Erma, Purwadi, Joko
Format: Article
Language:English
Subjects:
Bayesian analysis
Censored data (mathematics)
Data analysis
Parameter estimation
Physics
Process parameters
Rayleigh distribution
Survival
Survival analysis
Tuberculosis
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Summary:This research aims to determine the estimation of Rayleigh's distribution parameters on the data survival analysis of type II of tuberculosis patients. The method used in this research is the Bayesian method to perform estimate parameters. The process estimation parameter using the Bayesian method requires information from the likelihood function and the prior distribution. The prior distribution used was the prior distribution of Jeffreys. In this study, estimates of Rayleigh's distribution parameters were applied in the survival analysis data of tuberculosis sufferers. And the value of estimated parameters in patients with tuberculosis acquired θ = 0.001097324 and the changes of the survival value decreased near to zero.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1503/1/012004