DocumentCode
1401959
Title
Copulas of bivariate Rayleigh and log-normal distributions
Author
Liu, Xindong
Author_Institution
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
Volume
46
Issue
25
fYear
2010
Firstpage
1669
Lastpage
1671
Abstract
The intrinsic relations between multivariate distributions and their marginal distributions can be clearly characterised by copulas. The bivariate Rayleigh and bivariate log-normal distributions play important roles in both signal processing and digital communications. In this reported work, the formula of bivariate Rayleigh copula is improved and the formula of bivariate log-normal copula is derived. These formulas are in terms of the Marcum Q-function or the Gaussian Q-function, both being supported by Matlab. Thus the copula evaluation process can be expedited both analytically and numerically.
Keywords
signal processing; Gaussian Q-function; Marcum Q-function; bivariate Rayleigh; copula evaluation process; digital communications; log-normal distributions; marginal distributions; multivariate distributions; signal processing;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2010.2777
Filename
5665825
Link To Document