Theory of Probability and Its Applications · 1956 · 323 citations · 2 references
LawPhysiologyNon-discriminationUnconscionabilityUndue InfluenceMultimodal CompositionProbability DistributionsDistribution TheoryUnimodal Distribution
A distribution function is called strong unimodal if its composition with any unimodal distribution function is unimodal. The following theorem is proved: For a proper unimodal distribution $F(x)$ to be strong unimodal, it is necessary and sufficient that the function $F(x)$ be continuous, and the function log $F'(x)$ be concave at a set of points where neither the right nor the left derivative of the function $F(x)$ is equal to zero.
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The Theory of Functions of a Real Variable
John W. Green · Mathematics Magazine · 1951 · 458 citations