On how to find the norming constants for the maxima of a folded normally distributed variable
| dc.contributor.author | Mutangi, Kudakwashe | |
| dc.contributor.author | Matarise, Florence | |
| dc.date.accessioned | 2023-06-23T07:09:27Z | |
| dc.date.available | 2023-06-23T07:09:27Z | |
| dc.date.issued | 2011-08-05 | |
| dc.description | ON HOW TO FIND THE NORMING CONSTANTS FOR THE MAXIMA OF A FOLDED NORMALLY DISTRIBUTED VARIABLE | en_US |
| dc.description.abstract | A 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.citation | Mutangi, 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.issn | 0256 - 422 X | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/809 | |
| dc.language.iso | en | en_US |
| dc.publisher | Journal of Statistical Research | en_US |
| dc.relation.ispartofseries | Journal of Statistical Research;Vol . 2, No. 1 | |
| dc.subject | normalising, constants, convergence, Gumbel, limiting, folded norma | en_US |
| dc.title | On how to find the norming constants for the maxima of a folded normally distributed variable | en_US |
| dc.type | Article | en_US |
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