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DISCRIMINATING BETWEEN WEIBULL AND LOG-NORMAL DISTRIBUTIONS BASED ON KULLBACK-LEIBLER DIVERGENCE
2012
Journal:  
Ekoist: Journal of Econometrics and Statistics
Author:  
Abstract:

The Weibull and Log-Normal distributions are frequently used in reliability to analyze lifetime (or failure time) data. The ratio of maximized likelihood (RML) has been extensively used in choosing between the two distributions. The Kullback-Leibler information is a measure of uncertainty between two densities. We examine the use of Kullback-Leibler Divergence (KLD) in discriminating either the Weibull or Log-Normal distribution. An advantage of the KLD is that it incorporates entropy of each model. We explain the applicability of the KLD by a real data set and the consistency of the KLD with the RML is established.

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Ekoist: Journal of Econometrics and Statistics

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Ulusal

Metrics
Article : 246
Cite : 1.571
Quarter
Basic Field of Social, Humanities and Administrative Sciences
Q2
136/520
Details
Ekoist: Journal of Econometrics and Statistics