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Some new results on Cox-Czanner divergence and their applications in survival studies
Unnikrishnan Nair N1, Silpa Subhash1, S M Sunoj1
1Department of Statistics, Cochin University of Science and Technology, Kochi, Kerala, India.
Abstract:
In the present communication, we propose a quantile-based measure for the divergence between two survival functions. This can also be used in a dynamic way where the divergence between survival functions varies with time. Several new properties of the proposed measure are investigated with suitable examples. The behavior of the measure for various reliability models is also investigated. A real data analysis is employed to compare the relative efficacy of two treatment groups using the proposed divergence measure.
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