Please use this identifier to cite or link to this item: http://hdl.handle.net/11701/2072
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dc.contributor.authorK. Yu. Volkova-
dc.date.accessioned2016-04-12T18:46:40Z-
dc.date.available2016-04-12T18:46:40Z-
dc.date.issued2014-08-20-
dc.identifier.urihttp://hdl.handle.net/11701/2072-
dc.description.abstractWe introduce a new characterization of Pareto distribution and construct integral and supremum type goodness-of-fit tests based on it. Limiting distribution and large deviations of new statistics are described and their local Bahadur efficiency for parametric alternatives is calculated. Conditions of local optimality of new statistics are given.en_GB
dc.language.isoenen_GB
dc.subjectMathematics - Statisticsen_GB
dc.subjectMathematics - Statisticsen_GB
dc.subjectStatistics - Theoryen_GB
dc.subject60F10, 62G10, 62G20, 62G30en_GB
dc.titleOn asymptotic efficiency of goodness-of-fit tests for the Pareto distribution based on its characterizationen_GB
dc.typeArticleen_GB
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