On the <i>q</i> -Gamma distribution: Properties and inference

Abstract In this paper, we introduce a new q -Gamma probability distribution which is an extension of the classical Gamma distribution in the context of q -calculus. It is also a generalization of the q -exponential distribution. The main properties of the proposed model are presented. Its non-centered moments of any order were explicitly computed. In particular, the kurtosis and skewness were explicitly determined. Moreover, the maximum-likelihood estimation method of the parameters was developped. The performance of the estimation approach as well as the Metropolis-Hastings-based generation method were studied through several numerical experiments. In addition, a characterization of the q -exponential distribution is established using the truncated moments.

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Publication Details

Journal
Mathematica Slovaca
Published
2025-12-01
DOI
https://doi.org/10.1515/ms-2025-0111
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

On the q -Gamma distribution: Properties and inference

Nahla Ben Salah, Khalil Masmoudi, Afif Masmoudi
Mathematica Slovaca
Statistical Distribution Estimation and Applications
article

On the q -Gamma distribution: Properties and inference

Nahla Ben Salah, Khalil Masmoudi, Afif Masmoudi
article en

Abstract

Abstract In this paper, we introduce a new q -Gamma probability distribution which is an extension of the classical Gamma distribution in the context of q -calculus. It is also a generalization of the q -exponential distribution. The main properties of the proposed model are presented. Its non-centered moments of any order were explicitly computed. In particular, the kurtosis and skewness were explicitly determined. Moreover, the maximum-likelihood estimation method of the parameters was developped. The performance of the estimation approach as well as the Metropolis-Hastings-based generation method were studied through several numerical experiments. In addition, a characterization of the q -exponential distribution is established using the truncated moments.

Mathematica SlovacaVol. 75(6)
University of Sfax (TN)
Openalex Percentile: Top 63%
Statistical Distribution Estimation and Applications
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