Estimation of P (X ≤ Y) for the Uniform Distribution in the Presence of Outliers

dc.contributor.authorPhal, K.D.
dc.contributor.authorDixit, U.J
dc.date.accessioned2012-01-23T09:50:48Z
dc.date.available2012-01-23T09:50:48Z
dc.date.issued2012-01
dc.description.abstractThe maximum likelihood and the uniformly minimum variance unbiased estimator (UMVUE) of P (X ≤ Y) are derived, where both X and Y have uniform distribution and outliers are generated from Generalized Uniform Distribution (GUD). It is shown that UMVUE is better than MLE when one parameter of GUD is known. When both parameters of the GUD are unknown, P (X ≤ Y) is estimated by using mixture estimate. It is shown that estimator of P (X ≤ Y) is consistent.en_US
dc.identifier.urihttp://dspace.vpmthane.org:8080/jspui/handle/123456789/2254
dc.language.isoenen_US
dc.subjectUMVUEen_US
dc.subjectMLEen_US
dc.subjectMSEen_US
dc.titleEstimation of P (X ≤ Y) for the Uniform Distribution in the Presence of Outliersen_US
dc.typeBooken_US
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