On the generalized cumulative residual entropy weighted distributions |
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Authors: | Georgios Psarrakos Polychronis Economou |
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Affiliation: | 1. Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece;2. Department of Civil Engineering, University of Patras, Greece |
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Abstract: | Recently, Feizjavadian and Hashemi (2015 Feizjavadian, S.H., Hashemi, R. (2015). Mean residual weighted versus the length-biased Rayleigh distribution. J. Stat. Comput. Simul. 85:2823–2838.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) introduced and studied the mean residual weighted (MRW) distribution as an alternative to the length-biased distribution, by using the concepts of the mean residual lifetime and the cumulative residual entropy (CRE). In this article, a new sequence of weighted distributions is introduced based on the generalized CRE. This sequence includes the MRW distribution. Properties of this sequence are obtained generalizing and extending previous results on the MRW distribution. Moreover, expressions for some known distributions are given, and finite mixtures between the new sequence of weighted distributions and the length-biased distribution are studied. Numerical examples are given to illustrate the new results. |
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Keywords: | Generalized cumulative residual entropy Hazard (failure) rate Length-biased distribution Mean residual lifetime Weighted distribution. |
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