Autori: Aryal, Gokarna Raj , Pokhrel, Keshav , Kafle, Ram Chandra , Tharu, Bhikhari , Khanal, Netra
Titolo: McDonald-G Poisson Family of Distributions
Periodico: Statistica
Anno: 2022 - Volume: 82 - Fascicolo: 2 - Pagina iniziale: 119 - Pagina finale: 144

In this article, we utilize the method proposed by Tahir and Cordeiro (2016) to study a new family of distributions called the McDonald Generalized Poisson (McGP) family. This family is defined by using the genesis of the McDonald distribution and the zero truncated Poisson (ZTP) distribution. We provide some mathematical properties and parameter estimation procedures of the McGP family. Three real-life data are analyzed to illustrate the potential applications of the McGP family. Our examples illustrate that the development of new probability distributions is of great interest to capture the nature of the data under study. However, one can’t guarantee a better fit just because a probability distribution possesses a larger number of parameters than its sub-model.


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SICI: 0390-590X(2022)82:2<119:MPFOD>2.0.ZU;2-6

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