On normal variance–mean mixtures
Yaming Yu
Statistics & Probability Letters, 2017, vol. 121, issue C, 45-50
Abstract:
We study shape properties of normal variance–mean mixtures, in both the univariate and multivariate cases, and determine conditions for unimodality and log-concavity of the density functions. We also interpret such results in practical terms and discuss discrete analogues.
Keywords: Generalized inverse Gaussian distribution; Log-convexity; Modified Bessel function; Normal mixture; Poisson mixture; Total positivity (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:121:y:2017:i:c:p:45-50
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DOI: 10.1016/j.spl.2016.07.024
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