Open AccessParameters Estimation Of Rayleigh Distribution In Survival Analysis On Type Ii Censored Data Using The Bayesian Method
Author(s) -
Erma Elviana,
Joko Purwadi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1503/1/012004
Subject(s) - rayleigh distribution , statistics , bayesian probability , mathematics , bayes estimator , prior probability , estimation , posterior predictive distribution , computer science , econometrics , bayesian inference , bayesian linear regression , probability density function , engineering , systems engineering
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.