When are distributions skewed to the right?
type: Item
instance of: scholarly article
title: When are distributions skewed to the right?
zbMATH Open document ID: 0798.62020
DOI: 10.1016/0019-3577(94)90031-0
published in: Indagationes Mathematicae. New Series
publication date: 1994-11-08T00:00:00Z
review text: The authors state and prove sufficient conditions for all the existing odd central moments of a distribution with finite mean to be nonnegative. The conditions are expressed in terms of the density or distribution function. The proof of the corresponding theorems is based on the mass transportation principle, which permits to reduce the class of distributions under consideration to a smaller class with a particular simple description.
Mathematics Subject Classification ID: 62E10
Mathematics Subject Classification ID: 60E05
zbMATH DE Number: 604891
zbMATH Keywords: nonnegativity
zbMATH Keywords: sufficient conditions
zbMATH Keywords: odd central moments
zbMATH Keywords: finite mean
zbMATH Keywords: mass transportation principle
author: Robert Burton
author: Michael Keane
author: George L. O'Brien
reviewed by: Ivan Křivý
MaRDI profile type: Publication
full work available at URL: 0019-3577(94)90031-0
OpenAlex ID: W1993991711
cites work: Odd central moments of unimodal distributions
cites work: Mean, median, mode
description: scientific article; zbMATH DE number 604891