Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5136
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dc.contributor.authorSaha, Shital-
dc.contributor.authorKayal, Suchandan-
dc.date.accessioned2025-03-20T06:19:53Z-
dc.date.available2025-03-20T06:19:53Z-
dc.date.issued2025-03-
dc.identifier.citationInternational Conference on Statistical Learning (ICSL-2025), IIT Ropar, India on 6-8 March, 2025en_US
dc.identifier.urihttp://hdl.handle.net/2080/5136-
dc.descriptionCopyright belongs to the proceeding publisheren_US
dc.description.abstractWe introduce two uncertainty measures, say weighted past varentropy (WPVE) and weighted paired dynamic varentropy (WPDVE). Several properties of these proposed measures are studied. In addition, the non-parametric kernel estimates of the WPVE and WPDVE are proposed. Furthermore, the maximum likelihood estimation technique is employed to estimate WPVE and WPDVE for an exponential population. The performance of the non-parametric and parametric estimators of the WPVE and WPDVE is compared in terms of the absolute bias and mean squared error. Finally, we have reported an application of WPVE related to the reliability engineering.en_US
dc.subjectWeighted past varentropyen_US
dc.subjectweighted paired dynamic varentropyen_US
dc.subjectmonotone transformationen_US
dc.subjectproportional reversed hazard rates modelen_US
dc.subjectnon-parametric estimateen_US
dc.titleWeighted Past and Paired Dynamic Varentropy Measures, Their Properties, Usefulness and Inferencesen_US
dc.typePresentationen_US
Appears in Collections:Conference Papers

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