The book concerns the notion of association in probability and statistics. Association and some other positive dependence notions were introduced in 1966 and 1967 but received little attention from the probabilistic and statistics community. The interest in these dependence notions increased in the last 15 to 20 years, and many asymptotic results were proved and improved. Despite this increased interest, characterizations and results remained essentially scattered in the literature published in different journals. The goal of this book is to bring together the bulk of these results, presentin
Summary Systems involving many variables are important in population and quantitative genetics, for ...
A number of X2 based nonparametric tests are used to determine the level of statistical significance...
This paper was published in "Proceedings Fifth Annual ACM Symposium on Computational Geometry", Saar...
Association between random variables is a generalization of independence of these random variables. ...
The concept of association of random variables was introduced by Esary et al. (1967). In several sit...
The sole purpose of this paper is to establish asymptotic normality of the usual kernel estimate of ...
AbstractA general theory of concepts of positive dependence, which are weaker than association but s...
This book gives an account of recent developments in the field of probability and statistics for dep...
A characterization of stochastic independence in terms of association of random variables is given. ...
In this thesis, we consider measures of association for ordinal variables from a theoretical perspec...
This paper is concerned with the sampling behaviour of raw and partial measures of association betwe...
Abstract. Asymptotic results are obtained for several conditional mea-sures of association. The chos...
For two variables X and Y with arbitrary distributions, we consider three general association measur...
In the study of random processes, dependence is the rule rather than the exception. To facilitate th...
Asymptotic results are obtained for several conditional measures of association. The chosen random v...
Summary Systems involving many variables are important in population and quantitative genetics, for ...
A number of X2 based nonparametric tests are used to determine the level of statistical significance...
This paper was published in "Proceedings Fifth Annual ACM Symposium on Computational Geometry", Saar...
Association between random variables is a generalization of independence of these random variables. ...
The concept of association of random variables was introduced by Esary et al. (1967). In several sit...
The sole purpose of this paper is to establish asymptotic normality of the usual kernel estimate of ...
AbstractA general theory of concepts of positive dependence, which are weaker than association but s...
This book gives an account of recent developments in the field of probability and statistics for dep...
A characterization of stochastic independence in terms of association of random variables is given. ...
In this thesis, we consider measures of association for ordinal variables from a theoretical perspec...
This paper is concerned with the sampling behaviour of raw and partial measures of association betwe...
Abstract. Asymptotic results are obtained for several conditional mea-sures of association. The chos...
For two variables X and Y with arbitrary distributions, we consider three general association measur...
In the study of random processes, dependence is the rule rather than the exception. To facilitate th...
Asymptotic results are obtained for several conditional measures of association. The chosen random v...
Summary Systems involving many variables are important in population and quantitative genetics, for ...
A number of X2 based nonparametric tests are used to determine the level of statistical significance...
This paper was published in "Proceedings Fifth Annual ACM Symposium on Computational Geometry", Saar...