Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4454
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dc.contributor.authorTripathy, Manas Ranjan-
dc.date.accessioned2024-03-04T04:41:50Z-
dc.date.available2024-03-04T04:41:50Z-
dc.date.issued2024-02-
dc.identifier.citationRecent Advances of Probability and Statistics in Interdisciplinary Research (RAPSIR), University of Allahabad, Prayagraj, India 6-8 February 2024en_US
dc.identifier.urihttp://hdl.handle.net/2080/4454-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractSuppose there are two normal populations having common mean μ and different variances. Assuming that the variances follow a simple ordering, we estimate the quantile vector. Under order restrictions on the variances, some new estimators for the quantile vector are derived. These new estimators are shown to dominate their unrestricted counterparts in terms of the risks with respect to the quadratic loss. The percentage of risk reduction of the new estimators using prior information regarding the ordering of the variances is quite significant. Finally, some real life datasets are considered for analysis purposesen_US
dc.subjectAffine invariant lossen_US
dc.subjectCommon meanen_US
dc.subjectInadmissibilityen_US
dc.subjectOrdered variancesen_US
dc.subjectQuantile estimationen_US
dc.titleSimultaneous Estimation of Quantiles for Two Normal Populations with Common Mean and Ordered Variances with Some Real Life Applicationsen_US
dc.typePresentationen_US
Appears in Collections:Conference Papers

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