On Weighted Sushila Distribution with Properties and its Applications

A. A. Rather¹ , C. Subramanian²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.105-117, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i1.105117

Online published on Feb 28, 2019

Copyright © A. A. Rather, C. Subramanian . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this paper, we have proposed a new version of Sushila distribution known as weighted Sushila distribution. The weighted Sushila distribution has three parameters. The different structural properties of the newly model have been studied. The maximum likelihood estimators of the parameters and the Fishers information matrix have been discussed. Finally, a real life data set has been analyzed, where it is observed that weighted Sushila distribution has a better fit compared to Sushila distribution.

Key-Words / Index Term :
Weighted distribution, Sushila distribution, Reliability analysis, Maximum likelihood estimator, Order statistics, Entropies, Likelihood ratio test

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