Statistical inferences on different types of Bivariate Pareto distributions

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dc.contributor.authorPaul, Biplab
dc.date.accessioned2019-07-23T05:24:21Z
dc.date.accessioned2023-10-20T12:30:45Z
dc.date.available2019-07-23T05:24:21Z
dc.date.available2023-10-20T12:30:45Z
dc.date.issued2019
dc.descriptionSupervisor: Arabin Kumar Deyen_US
dc.description.abstractIn this thesis work, we discuss di erent types of Marshal-Olkin form of bivariate Pareto distribu- tion. We use EM algorithm and Bayesian estimation through slice cum Gibbs sampler to estimate the parameters. The thesis covers some innovative solutions for di erent problems related to im- plementation of EM algorithm and Bayesian estimation. We also analyze the interval estimation of the parameters both in frequentist and bayesian set up. Numerical results are shown to verify the performance of the algorithms. A real-life data analysis is also shown in each study for illustrative purposesen_US
dc.identifier.otherROLL NO.156123014
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/1326
dc.language.isoenen_US
dc.relation.ispartofseriesTH-1999;
dc.subjectMATHEMATICSen_US
dc.titleStatistical inferences on different types of Bivariate Pareto distributionsen_US
dc.typeThesisen_US
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