The variance upper bound for a mixed random variable
Martín Egozcue and
Luis Fuentes García
Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 22, 5391-9395
Abstract:
In this note, we derive upper bounds on the variance of a mixed random variable. Our results are an extension of previous results for unimodal and symmetric random variables. The novelty of our findings is that this mixed random variable does not necessarily need to be symmetric and is multimodal. We also characterize the cases when these bounds are optimal.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:22:p:5391-9395
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DOI: 10.1080/03610926.2017.1390136
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