On how to find the norming constants for the maxima of a folded normally distributed variable
Date
2011-08-05
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Statistical Research
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.
Description
ON HOW TO FIND THE NORMING CONSTANTS FOR THE MAXIMA OF A FOLDED NORMALLY DISTRIBUTED VARIABLE
Keywords
normalising, constants, convergence, Gumbel, limiting, folded norma
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.