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Original Articles

A New Class of Mixture Probability Models with Applications

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Pages 207-226 | Received 23 Aug 2017, Accepted 01 Aug 2018, Published online: 13 Nov 2018
 

SYNOPTIC ABSTRACT

In this article, we focus on the moderate to large sample inference for a particular family of the Generalized Transmuted Poisson-G (GTPG) distributions for a baseline G, when G follows a Weibull distribution with suitable parameters. We also consider some useful characterizations for generalized transmuted Poisson-Weibull distribution and some other structural properties which were not discussed previously in other works that exist in the literature. We have also utilized three well-known data sets to exhibit the flexibility of this distribution.

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