We consider nonnegative infinitely divisible random variables whose Levy measures are either absolutely continuous or supported by the integers. Necessary conditions are found ensuring that such distributions are log-concave or log-convex
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
Interesting properties and propositions, in many branches of science such as economics have been ob...
AbstractWe prove that the convolution of two ultra-logconcave sequences is ultra-log-concave. This w...
We consider nonnegative infinitely divisible random variables whose Levy measures are either absolut...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
AbstractSimple conditions are given which characterize the generating function of a nonnegative mult...
It is shown that the generalized logarithmic series distribution is log-convex and hence infinitely ...
Certain families of probability distribution functions maintain their infinite divisibility under re...
Certain families of probability distribution functions maintain their infinite divisibility under re...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
Klebanov e.a. (1984) have shown that the set of geometrically infinitely divisible distributions coi...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
Interesting properties and propositions, in many branches of science such as economics have been ob...
AbstractWe prove that the convolution of two ultra-logconcave sequences is ultra-log-concave. This w...
We consider nonnegative infinitely divisible random variables whose Levy measures are either absolut...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
Simple conditions are given which characterize the generating function of a nonnegative multivariate...
AbstractSimple conditions are given which characterize the generating function of a nonnegative mult...
It is shown that the generalized logarithmic series distribution is log-convex and hence infinitely ...
Certain families of probability distribution functions maintain their infinite divisibility under re...
Certain families of probability distribution functions maintain their infinite divisibility under re...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
Klebanov e.a. (1984) have shown that the set of geometrically infinitely divisible distributions coi...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
Interesting properties and propositions, in many branches of science such as economics have been ob...
AbstractWe prove that the convolution of two ultra-logconcave sequences is ultra-log-concave. This w...