In this article, we establish some results concerning the likelihood ratio order of random vectors of order statistics in the case of independent but not necessarily identically distributed observations and for the case of possible dependent observations. Applications of these results to provide comparisons of conditional order statistics are also given
The most common mode of inference for order restricted models is likelihood inference. See T. Robert...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
Statistical methods based on nonparametric and distribution-free procedures require the use of order...
AbstractLet X1,…, Xn be independent random variables such that X1<lr X2<lr … <lr Xn, where <lr denot...
Let X1,…, Xn be independent random variables such that X1 <ir X2 <ir ... <ir Xn where <i...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
Abstract. The most of the results obtained about stochastic properties of generalized order statisti...
The concept of generalized order statistics was introduced as a unified approach to a variety of mod...
AbstractLet X¯1,…,X¯n denote a set of n independent identically distributed k-dimensional absolutely...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
Abstract. The purpose of this paper is to investigate conditions on the underlying distribution func...
In this paper, we consider n independent observations from a multivariate normal distribution and di...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
The most common mode of inference for order restricted models is likelihood inference. See T. Robert...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
Statistical methods based on nonparametric and distribution-free procedures require the use of order...
AbstractLet X1,…, Xn be independent random variables such that X1<lr X2<lr … <lr Xn, where <lr denot...
Let X1,…, Xn be independent random variables such that X1 <ir X2 <ir ... <ir Xn where <i...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
We show that the order statistics, in a sample from a distribution that has a logconcave density fun...
Abstract. The most of the results obtained about stochastic properties of generalized order statisti...
The concept of generalized order statistics was introduced as a unified approach to a variety of mod...
AbstractLet X¯1,…,X¯n denote a set of n independent identically distributed k-dimensional absolutely...
AbstractFor any positive integers m and n, let X1,X2,…,Xm∨n be independent random variables with pos...
Abstract. The purpose of this paper is to investigate conditions on the underlying distribution func...
In this paper, we consider n independent observations from a multivariate normal distribution and di...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
The most common mode of inference for order restricted models is likelihood inference. See T. Robert...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
Statistical methods based on nonparametric and distribution-free procedures require the use of order...