We study the concavity of the first NLPC transformation for symmetric unimodal distributions on bounded domains. We deduce a comparison principle based on the variances of the first NLPC and show a possible application in constructing goodness-of-fit tests.
On the concavity of the first NLPC transformation of unimodal symmetric random variables
GOIA, Aldo;SALINELLI, Ernesto
2010-01-01
Abstract
We study the concavity of the first NLPC transformation for symmetric unimodal distributions on bounded domains. We deduce a comparison principle based on the variances of the first NLPC and show a possible application in constructing goodness-of-fit tests.File in questo prodotto:
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