Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/123456789/636
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dc.contributor.authorDas, Shubhabrataen_US
dc.contributor.authorGhosh, Dipteshen_US
dc.date.accessioned2012-07-26T11:27:42Z
dc.date.accessioned2016-01-01T07:15:06Z
dc.date.accessioned2019-05-27T08:37:28Z-
dc.date.available2012-07-26T11:27:42Z
dc.date.available2016-01-01T07:15:06Z
dc.date.available2019-05-27T08:37:28Z-
dc.date.copyright2003en_US
dc.date.issued2003
dc.identifier.otherWP_IIMB_216-
dc.identifier.urihttp://repository.iimb.ac.in/handle/123456789/636-
dc.description.abstractIn this paper we introduce a concept of skewness and suggest its measure among a class of unimodal distributions. The measure is built on the lack of symmetry of the density function around the the mode of the distribution. It is shown to satisfy all standard properties expected from a measure of skewness, including location and scale invariance. The extreme values of the measure are characterized. Although the measure is defined for a relatively narrow class of distributions, its utility is established by showing that it is applicable for most popularly used contimuous distribution families.
dc.language.isoenen_US
dc.publisherIndian Institute of Management Bangalore-
dc.relation.ispartofseriesIIMB Working Paper-216-
dc.subjectDiscrete distribution-
dc.subjectBeta distribution-
dc.subjectGamma distribution-
dc.subjectPoisson distribution-
dc.titleOn a new measure of skewness for unimodal distributions :en_US
dc.typeWorking Paper
dc.pages19p.
dc.identifier.accessionE24298
dc.identifier.accessionE23485
Appears in Collections:2003
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