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dc.contributor.authorRavi, S-
dc.contributor.authorMavitha, TS-
dc.date.accessioned2022-06-30T05:10:19Z-
dc.date.available2022-06-30T05:10:19Z-
dc.date.issued2015-09-30-
dc.identifier.issn2278-9561-
dc.identifier.issn2278-957X-
dc.identifier.urihttp://dspace.chitkarauniversity.edu.in/xmlui/handle/123456789/519-
dc.description.abstractExtreme value laws are limit laws of linearly normalized partial maxima of independent and identically distributed (iid) random variables (rvs), also called as l-max stable laws. Similar to l-max stable laws, we have the l-min stable laws which are the limit laws of centered and scaled partial minima, p-max and p-min stable laws which are respectively the limit laws of normalized maxima and minima under power normalization. In this article, we look at transformations between l-max, l-min, p-max and p-min stable distributions and their domains. The transformations in this article are useful in simulation studies.en_US
dc.language.isoenen_US
dc.relation.ispartofseries;CHAENG/2013/49583-
dc.subjectl-max stable lawsen_US
dc.subjectl-min stable lawsen_US
dc.titleThe Interplay between I-max, I-min, p-max and p-min Stable Distributionsen_US
dc.typeArticleen_US
Appears in Collections:Vol. 4 No. 1 (2015)

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