On how to find the norming constants for the maxima of a folded normally distributed variable

dc.contributor.authorMutangi, Kudakwashe
dc.contributor.authorMatarise, Florence
dc.date.accessioned2023-06-23T07:09:27Z
dc.date.available2023-06-23T07:09:27Z
dc.date.issued2011-08-05
dc.descriptionON HOW TO FIND THE NORMING CONSTANTS FOR THE MAXIMA OF A FOLDED NORMALLY DISTRIBUTED VARIABLEen_US
dc.description.abstractA general procedure when one is looking for a limiting distribution of Xn = max(X1, . . . , Xn) is to first center Xn by subtracting cn and then scale by dn,[6]. This article is focused on finding the norming constants cn and dn for the maxima of the folded normal random variable Xn, where X = |Z|, Z ∼ N(0, 1). We also show that after appropriate normalisation, Xn has a limiting distribution H(x) = exp(− exp(x)), which is the gumbel distribution.en_US
dc.identifier.citationMutangi, K. and Matarise, F., 2012. On how to find the norming constants for the maxima of a folded normally distributed variable. Journal of Statistical Research, 46(1), p.31.en_US
dc.identifier.issn0256 - 422 X
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/809
dc.language.isoenen_US
dc.publisherJournal of Statistical Researchen_US
dc.relation.ispartofseriesJournal of Statistical Research;Vol . 2, No. 1
dc.subjectnormalising, constants, convergence, Gumbel, limiting, folded normaen_US
dc.titleOn how to find the norming constants for the maxima of a folded normally distributed variableen_US
dc.typeArticleen_US

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