We give simple proofs of two results about convolutions of unimodal distributions. The first of these results states that the convolution of two symmetric unimodal distributions on is unimodal. The other result states that symmetrization of a unimodal random variable gives a symmetric unimodal random variable. Both our proofs avoid Khintchine's representation of a random variable that is unimodal about zero, and use the integral representation of the expectation of a non-negative random variable with its tail probability as the integrand.Convolution Khintchine's representation Symmetry Unimodality
Examples illustrate that splitting a symmetric, unimodal distribution into two groups so as to minim...
Abstract. It has been conjectured, for any discrete density function (pj) on the integers, that ther...
We study the concavity of the first NLPC transformation for symmetric unimodal distributions on boun...
We give simple proofs of two results about convolutions of unimodal distributions. The first of thes...
The concept of [alpha]-uniform for generating an [alpha]-unimodal discrete distribution is introduce...
The concept of α-uniform for generating an α-unimodal discrete distribution is introduced. Upper bou...
It is shown that unimodality (discrete or not) is preserved by mixing for certain distributions. The...
The symmetric distributions on the real line and their multi-variate extensions play a central role ...
We study the bimodality of the mixture of two unimodal distributions. In the special cases we give n...
If the univariate random variable X follows the distribution with distribution function F, then so d...
AbstractA theorem is proved that characterizes multivariate distribution functions of class L. This ...
A theorem is proved that characterizes multivariate distribution functions of class L. This theorem ...
We introduce a new concept of skewness for unimodal continuous distributions which is built on the a...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
We introduce a new concept of skewness for unimodal continuous distributions which is built on the a...
Examples illustrate that splitting a symmetric, unimodal distribution into two groups so as to minim...
Abstract. It has been conjectured, for any discrete density function (pj) on the integers, that ther...
We study the concavity of the first NLPC transformation for symmetric unimodal distributions on boun...
We give simple proofs of two results about convolutions of unimodal distributions. The first of thes...
The concept of [alpha]-uniform for generating an [alpha]-unimodal discrete distribution is introduce...
The concept of α-uniform for generating an α-unimodal discrete distribution is introduced. Upper bou...
It is shown that unimodality (discrete or not) is preserved by mixing for certain distributions. The...
The symmetric distributions on the real line and their multi-variate extensions play a central role ...
We study the bimodality of the mixture of two unimodal distributions. In the special cases we give n...
If the univariate random variable X follows the distribution with distribution function F, then so d...
AbstractA theorem is proved that characterizes multivariate distribution functions of class L. This ...
A theorem is proved that characterizes multivariate distribution functions of class L. This theorem ...
We introduce a new concept of skewness for unimodal continuous distributions which is built on the a...
In this thesis, Kanter's representation of multivariate unimodal distributions is shown equivalent t...
We introduce a new concept of skewness for unimodal continuous distributions which is built on the a...
Examples illustrate that splitting a symmetric, unimodal distribution into two groups so as to minim...
Abstract. It has been conjectured, for any discrete density function (pj) on the integers, that ther...
We study the concavity of the first NLPC transformation for symmetric unimodal distributions on boun...