On the concavity of the first NLPC transformation of unimodal symmetric random variables

Elvise Berchio; Aldo Goia; Ernesto Salinelli

On the concavity of the first NLPC transformation of unimodal symmetric random variables

Elvise Berchio
, Aldo Goia
, Ernesto Salinelli

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	112-118
Number of pages	7
Journal	Applied Mathematics E - Notes
Volume	10
Publication status	Published - 2010

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title = "On the concavity of the first NLPC transformation of unimodal symmetric random variables",

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.",

author = "Elvise Berchio and Aldo Goia and Ernesto Salinelli",

year = "2010",

language = "English",

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pages = "112--118",

journal = "Applied Mathematics E - Notes",

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publisher = "Tsing Hua University",

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AU - Goia, Aldo

AU - Salinelli, Ernesto

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N2 - 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.

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M3 - Article

SN - 1607-2510

VL - 10

SP - 112

EP - 118

JO - Applied Mathematics E - Notes

JF - Applied Mathematics E - Notes

ER -

On the concavity of the first NLPC transformation of unimodal symmetric random variables

Abstract

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