The usual stochastic order and the likelihood ratio order between probability distributions on the real line are reviewed in full generality. In addition, for the distribution of a random pair $(X,Y)$, it is shown that the conditional distributions of $Y$, given $X = x$, are increasing in $x$ with respect to the likelihood ratio order if and only if the joint distribution of $(X,Y)$ is totally positive of order two (TP2) in a certain sense. It is also shown that these three types of constraints are stable under weak convergence, and that weak convergence of TP2 distributions implies convergence of the conditional distributions just mentioned
Let X1,...,Xm and Y1,...,Yn be independent random samples from two absolutely continuous distributio...
For a sample of iid observations {(Xi, Yi)} from an absolutely continuous distribution, the multiva...
We analyze some specific aspects concerning conditional orderings and relations among them. To this ...
Consider bivariate observations $(X_1,Y_1), \ldots, (X_n,Y_n) \in \mathbb{R}\times \mathbb{R}$ with ...
A random variable $Y_1$ is said to be smaller than $Y_2$ in the increasing concave stochastic order ...
AbstractLet (Xi, Yi) i=1, 2, …, n be n independent and identically distributed random variables from...
AbstractFor a sample of iid observations {(Xi, Yi)} from an absolutely continuous distribution, the ...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
Click on the DOI link below to access this article (may not be free)If X1 and X2 are random variable...
AbstractLet X1,…, Xn be independent random variables such that X1<lr X2<lr … <lr Xn, where <lr denot...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
Let X1,...,Xm and Y1,...,Yn be independent random samples from two absolutely continuous distributio...
For a sample of iid observations {(Xi, Yi)} from an absolutely continuous distribution, the multiva...
We analyze some specific aspects concerning conditional orderings and relations among them. To this ...
Consider bivariate observations $(X_1,Y_1), \ldots, (X_n,Y_n) \in \mathbb{R}\times \mathbb{R}$ with ...
A random variable $Y_1$ is said to be smaller than $Y_2$ in the increasing concave stochastic order ...
AbstractLet (Xi, Yi) i=1, 2, …, n be n independent and identically distributed random variables from...
AbstractFor a sample of iid observations {(Xi, Yi)} from an absolutely continuous distribution, the ...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
Click on the DOI link below to access this article (may not be free)If X1 and X2 are random variable...
AbstractLet X1,…, Xn be independent random variables such that X1<lr X2<lr … <lr Xn, where <lr denot...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
Let X1,...,Xm and Y1,...,Yn be independent random samples from two absolutely continuous distributio...
For a sample of iid observations {(Xi, Yi)} from an absolutely continuous distribution, the multiva...
We analyze some specific aspects concerning conditional orderings and relations among them. To this ...