Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7549064 | Statistics & Probability Letters | 2016 | 15 Pages |
Abstract
Divergence measures play an important role in measuring the distance between two probability distribution functions. Kullback-Leibler divergence function is a popular measure in this class. The present paper introduces a quantile based definition of the Kullback-Leibler divergence and study its properties in the context of lifetime data analysis. We also propose the quantile versions of Kullback-Leibler divergence for residual and past lifetime random variables.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
P.G. Sankaran, S.M. Sunoj, N. Unnikrishnan Nair,