Add to ORKGIn this work we derive the exact joint distribution of linear combinations of order statistics and linear combinations of their concomitants and some auxiliary variables in multivariate normal distribution. By extending the results of Sheikhi and Jamalizadeh we investigate some regression equations. Our results generalize those obtained in previous research by Viana, Lee and Loperfido
In this study, the joint distributions of order statistics of innid random variables are expressed. ...
AbstractAsymptotic normality in the non-i.i.d. case is established for linear combinations of functi...
After describing the main idea or the concomitants and the distributions involved in the study, some...
In this work we derive the exact joint distribution of linear combinations of order statistics and l...
In this paper, we consider n independent observations from a multivariate normal distribution and di...
This article derives means, variance--covariance matrices of concomitant vectors corresponding to no...
AbstractLet X¯1,…,X¯n denote a set of n independent identically distributed k-dimensional absolutely...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
We investigate the estimation of the correlation coefficient in a bivariate normal distri-bution usi...
AbstractWe study the exact distribution of linear combinations of order statistics of arbitrary (abs...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
The distribution theory and applications of concomitants from the Morgenstern family of bivariate di...
AbstractLet (Xi, Yi) i=1, 2, …, n be n independent and identically distributed random variables from...
A general family of distributions for the empirical modelling of ordered multivariate data is propos...
In this article, we establish some results concerning the likelihood ratio order of random vectors o...
In this study, the joint distributions of order statistics of innid random variables are expressed. ...
AbstractAsymptotic normality in the non-i.i.d. case is established for linear combinations of functi...
After describing the main idea or the concomitants and the distributions involved in the study, some...
In this work we derive the exact joint distribution of linear combinations of order statistics and l...
In this paper, we consider n independent observations from a multivariate normal distribution and di...
This article derives means, variance--covariance matrices of concomitant vectors corresponding to no...
AbstractLet X¯1,…,X¯n denote a set of n independent identically distributed k-dimensional absolutely...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
We investigate the estimation of the correlation coefficient in a bivariate normal distri-bution usi...
AbstractWe study the exact distribution of linear combinations of order statistics of arbitrary (abs...
Given a bivariate sample [special characters omitted], the rth order statistic [special characters o...
The distribution theory and applications of concomitants from the Morgenstern family of bivariate di...
AbstractLet (Xi, Yi) i=1, 2, …, n be n independent and identically distributed random variables from...
A general family of distributions for the empirical modelling of ordered multivariate data is propos...
In this article, we establish some results concerning the likelihood ratio order of random vectors o...
In this study, the joint distributions of order statistics of innid random variables are expressed. ...
AbstractAsymptotic normality in the non-i.i.d. case is established for linear combinations of functi...
After describing the main idea or the concomitants and the distributions involved in the study, some...