Two Parameter Beta-Exponential Distribution: Properties and Applications in Demography and Geostandards

Modeling and analyzing lifespan data is essential in many application areas, including medicine, engineering, and finance. These types of data have been modeled using various lifetime distributions. The assumed probability model(s) have a significant impact on the efficiency of the procedures used in statistical research.Forthisreason, much work has been devotedtoderivingalargeclass of normal probability distributions andrelated statistical techniques. However,real-worlddatachallenge all established probability models, leaving manyimportant issues unresolved.This present work add another novel distribution with two parameter called two-parameter betaexponential distribution (TPBED), including the beta (2,b)distribution and the new XLindley distribution as special cases. We provide a complete mathematical treatment of this distribution. We derive the moment generating function and the r-th moment, thereby generalizing some results from the literature. Expressions for the density, moment generating function, entropy and the r-th moment of the order statisticare also obtained. We observe in three applications to simulated and real data sets(demography and geostandards) that this model is quite flexible and can be used quite effectively for analyzing active data in place of one and two-parameter distributions such asthe exponential, Lindley, XLindley, new XLindley, Xgamma, Zeghdoudi, Chen, Lindley gamma, quasi-new Lindley, two-parameter Lindley, Power XLindley, and Gamma.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-23
DOI
https://doi.org/10.5281/zenodo.14549152
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
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article

Two Parameter Beta-Exponential Distribution: Properties and Applications in Demography and Geostandards

Zenodo (CERN European Organization for Nuclear Research)
Tuberculosis Research and Epidemiology
article

Two Parameter Beta-Exponential Distribution: Properties and Applications in Demography and Geostandards

article en

Abstract

Modeling and analyzing lifespan data is essential in many application areas, including medicine, engineering, and finance. These types of data have been modeled using various lifetime distributions. The assumed probability model(s) have a significant impact on the efficiency of the procedures used in statistical research.Forthisreason, much work has been devotedtoderivingalargeclass of normal probability distributions andrelated statistical techniques. However,real-worlddatachallenge all established probability models, leaving manyimportant issues unresolved.This present work add another novel distribution with two parameter called two-parameter betaexponential distribution (TPBED), including the beta (2,b)distribution and the new XLindley distribution as special cases. We provide a complete mathematical treatment of this distribution. We derive the moment generating function and the r-th moment, thereby generalizing some results from the literature. Expressions for the density, moment generating function, entropy and the r-th moment of the order statisticare also obtained. We observe in three applications to simulated and real data sets(demography and geostandards) that this model is quite flexible and can be used quite effectively for analyzing active data in place of one and two-parameter distributions such asthe exponential, Lindley, XLindley, new XLindley, Xgamma, Zeghdoudi, Chen, Lindley gamma, quasi-new Lindley, two-parameter Lindley, Power XLindley, and Gamma.

Zenodo (CERN European Organization for Nuclear Research)
Badji Mokhtar-Annaba University (DZ)
Openalex Percentile: Top 56%
Tuberculosis Research and Epidemiology
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