Unimodality and dominance for symmetric random vectors
Author:
Marek Kanter
Journal:
Trans. Amer. Math. Soc. 229 (1977), 6585
MSC:
Primary 60E05
MathSciNet review:
0445580
Fulltext PDF Free Access
Abstract 
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Abstract: In this paper a notion of unimodality for symmetric random vectors in is developed which is closed under convolution as well as weak convergence. A related notion of stochastic dominance for symmetric random vectors is also studied.
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Additional Information
DOI:
http://dx.doi.org/10.1090/S00029947197704455807
PII:
S 00029947(1977)04455807
Keywords:
Unimodality,
symmetric density,
convex set,
convolution,
logarithmically concave density
Article copyright:
© Copyright 1977
American Mathematical Society
