Estimasi Parameter Data Tersensor Tipe I Berdistribusi Loglogistik Menggunakan Maximum Likelihood Estimate dan Iterasi Newton-Rhapson
Main Author: | Faruk, Alfensi |
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Format: | Proceeding PeerReviewed application/pdf |
Terbitan: |
, 2014
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Subjects: | |
Online Access: |
http://eprints.unsri.ac.id/5390/1/alf_2014.pdf http://eprints.unsri.ac.id/5390/ |
Daftar Isi:
- Survival analysis is one of the topics in the field of mathematics which deals with statistical analysis of the time until the occurrence of one or more a particular event. The purposes of this study are to obtain the survival model and to estimate the parameters of the type I censored data which log-logistic distributed. Maximum likelihood estimate was used to estimate the unknown parameters. Based on the results and discussion, if the exact values of the parameters γ and β are analytically difficult to obtain, then the numerical approach by the Newton-Rhapson iteration can be used to approach the values of both parameters.