Research Title |
The Log Beta Generalized Weibull Regression Model for Lifetime Data |
Date of Distribution |
7 November 2019 |
Conference |
Title of the Conference |
2nd International Conference on Applied & Industrial Mathematics and Statistics |
Organiser |
Faculty of Industrial Sciences & Technology Universiti Malaysia Pahang |
Conference Place |
The Zenith Hotel, Kuantan, Pahang, Malaysia |
Province/State |
Pahang, Malaysia |
Conference Date |
23 July 2019 |
To |
25 July 2019 |
Proceeding Paper |
Volume |
1366 |
Issue |
1 |
Page |
1-8 |
Editors/edition/publisher |
|
Abstract |
A log beta generalized Weibull regression model was proposed by modification from beta generalized Weibull distribution. To predict the survival time, the maximum likelihood method was used to estimate parameters in the proposed regression model and then, the proposed regression model was applied with lifetime data. The Akaike information criterion, Bayesian information criterion and likelihood ratio statistic are criterion to compare the performance of the proposed regression model with sub models which are log beta Weibull regression model, log generalized Weibull regression and log Weibull regression model. The result showed that the proposed regression model performed better than the sub models. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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