Affiliation:
1. 1 Marquette University Department of Mathematics, Statistics and Computer Science Milwaukee WI 53201 USA
2. 2 University of Wisconsin-Milwaukee Department of Mathematical Sciences Milwaukee WI 53201 USA
3. 3 Islamic Azad University Department of Mathematics Shiraz Iran
Abstract
First, we recall a concept which is called sub-independence. This concept is stronger than that of uncorrelatedness but a lot weaker than independence. The concept of sub-independence, unlike that of uncorrelatedness, does not depend on the existence of any moments. Then, we consider a particular bivariate mixture to construct a pair (X, Y), which is sub-independent but not independent.
Reference20 articles.
1. Some characterizations of normal distribution;Ahsanullah M.;CSAB,1988
2. On characterizations of normal distributions;Ahsanullah M.;CSAB,1991
3. Calculating the return value using a mathematical model of signićant wave height;Bazargon H.;J. Mar. Sci. Technology,2007
4. Examples of uncorrelated dependent random variables using a bivariate mixture;Behboodian J.;The Amer. Statistician,1990
5. Cramér, H., Random variables and probability distributions, 3rd ed. Cambridge University Press (1970), pp. 53–55. MR 0254895 (40#8102)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献