JMT (Jurnal Matematika dan Terapan)
Vol 4 No 2 (2022): JMT (Jurnal Matematika dan Terapan)

Metode Bayesian untuk Estimasi Parameter Distribusi Eksponensial pada Data Tersensor

Reza Anjab Ramadhan (universitas negeri jakarta)
Widyanti Rahayu (Universitas Negeri Jakarta)
Ibnu Hadi (Universitas Negeri Jakarta)

Article Info

Publish Date
30 Aug 2022

Abstract

Parameter is a value that describe the characteristics of a population. But the parameter of a real data, the value is unknown. To estimate the value of the parameter, there are several methods, which are maximum likelihood estimation method (MLE) and Bayesian parameter estimation method. In Bayesian method, the prior information is applied to update the current data. The prior is determined based on the information in the data. This article using censored data with exponential distribution, and using the conjugate prior. Followed by squared error loss function (SELF), the estimated value function on the λ parameter. When the function was applied on Stanford heart transplant data, the value of ˆλ = 0.00089, which means the patient’s failure (death) probability is low and the patient’s probability to survive is high.

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Journal Info
JMT (Jurnal Matematika dan Terapan)
Website

Abbrev

jmt

Publisher

Universitas Negeri Jakarta

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

JMT (Jurnal Matematika dan Terapan) is a journal that publishes about scientific papers containing fields of mathematics such as analysis, geometry, algebra and its application. This mathematics journal contains about the result of student thesis, research lecturer both in mathematics prodi unj and ...