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A family of weighted distributions based on the mean inactivity time and cumulative past entropies

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Abstract

In this paper, a family of mean past weighted (\(\hbox {MPW}_{\alpha }\)) distributions of order \(\alpha \) is introduced. For the construction of this family, the concepts of the mean inactivity time and cumulative \(\alpha \)-class past entropy are used. Distributional properties and stochastic comparisons with other known weighted distributions are given. Furthermore, an upper bound for the k-order moment of the random variables associated with the new family and a characterization result are obtained. Generalized discrete mixtures that involve \(\hbox {MPW}_{\alpha }\) distributions and other weighted distributions are also explored.

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Acknowledgements

C. Calì and M. Longobardi are partially supported by the GNAMPA research group of INDAM (Istituto Nazionale di Alta Matematica) and MIUR-PRIN 2017, Project “Stochastic Models for Complex Systems” (No. 2017JFFHSH).

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Correspondence to Georgios Psarrakos.

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Calì, C., Longobardi, M. & Psarrakos, G. A family of weighted distributions based on the mean inactivity time and cumulative past entropies. Ricerche mat 70, 395–409 (2021). https://doi.org/10.1007/s11587-019-00475-7

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  • DOI: https://doi.org/10.1007/s11587-019-00475-7

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