On the lindley distribution and its applications

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dc.contributor.authorNaturinda, Evalyne
dc.date.accessioned2024-12-17T10:18:08Z
dc.date.available2024-12-17T10:18:08Z
dc.date.issued2023
dc.description89f.:ill.;30cm
dc.description.abstractProbability distributions are commonlyapplied to describe real phenomenaand are oftenused in severalfieldssuch as economics, biology and medicine.There are severalprobability distributions. In thisthesiswestudy the Lindleydistribution with one parameter, Lindley distribution withtwoparameters aswell as the two-parameterweightedLindley distribution. Wealso explore thefundamentalproperties of the Lindley distribution, includingitsprobabilitydensityfunction, cumulative distribution function, survival and hazard ratefunction, moments, characteristicfunction, moment generatingfunction, etcand explores parameter estimation methods, includingmethod of moments,maximum likelihood and Bayesianapproaches as well. Finally applications ofLindley distribution to different real data sets and simulated data.
dc.identifier.citationProbabilité et statistique
dc.identifier.urihttps://dspace.ummto.dz/handle/ummto/25843
dc.language.isoen
dc.publisherummto
dc.subjectSimulation
dc.subjectRandom variable
dc.subjectProbability distribution
dc.subjectSurvival function
dc.subjectLindley distribution
dc.subjectMaximum likelihood estimation
dc.titleOn the lindley distribution and its applications
dc.typeThesis

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