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Extended generalized exponential power series distribution

Authors: Natcha Kunjiratanachot; Winai Bodhisuwan;

Extended generalized exponential power series distribution

Abstract

In this paper, we introduce the Topp-Leone generalized exponential power series class of distributions. It is obtained by compounding the Topp-Leone generalized exponential distribution and the power series family. This new class of distributions can be applied in reliability of parallel system with identical components, where lifetime of each component has the Topp-Leone generalized exponential distribution. The proposed distribution contains several lifetime models such as the Topp-Leone generalized exponential-geometric, Topp-Leone generalized exponential-binomial,Topp-Leone generalized exponential-poisson, and Topp-Leone generalized exponential-logarithmic distributions as special cases. The hazard function of the new distributions can be increasing, decreasing, and v shaped. We obtain several properties of this distributions such as probability density function, quantile and moments. The parameter estimation using maximum likelihood estimation is discussed. Some real datasets are illustrated the flexibility and potentiality of the Topp-Leone generalized exponential power series class of distributions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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