On the Beta-New XLindley distribution, simulation and application in medicine

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dc.contributor.authorKOUADRIA, Mohamed
dc.date.accessioned2025-12-02T13:08:31Z
dc.date.available2025-12-02T13:08:31Z
dc.date.issued2025
dc.description.abstractThis thesis introduces three new distributions: the truncated New-XLindley distribution,the two-parameter beta-exponential distribution, and the New-XLindley beta distribu tion. These distributions will be useful additions to the current literature on probability theory and data modeling for actuarial and life sciences. We investigate the moment generating function, order statistics, entropy, and constraint-force reliability of these dis tributions. The unknown parameters associated with these distributions are estimatedusing a variety of methods, such as least squares and maximum likelihood. To illustrate the utility of the proposed models, we apply them to a medical data and other data sets.Our goal is to draw in academics by showcasing the versatility and possible applications of these novel distributions.
dc.formatPDF
dc.identifier.urihttps://dspace.univ-annaba.dz//handle/123456789/4385
dc.language.isoen
dc.publisherUniversité Badji Mokhtar Annaba
dc.subjectlindley distribution; new-XLindley distribution; beta distribution; truncated distribution; maximum likelihood method
dc.titleOn the Beta-New XLindley distribution, simulation and application in medicine
dc.title.alternativeSur la distribution Beta-New XLindley,simulation et application en médecine
dc.typeThesis
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