Survival Model Estimator for Type II Censored Data Based on Lognormal Distribution
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Abstract
The problems that occur in analyzing survival models based on parametric distributions require parameter values obtained from estimators. This study aims to obtain an estimator model of the lognormal distribution which has parameters and . Therefore, the maximum likelihood method approach is used to obtain the estimators and . However, the problem encountered is that the maximum likelihood model of the lognormal distribution for Type II cencoring data produces quite complex equations, so an approach with a Taylor series is needed only for the first order. The results obtained are estimators and which can be applied to Type II cencoring data based on a lognormal distribution.
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RANGE: Jurnal Pendidikan Matematika
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