Title :
Copulas of bivariate Rayleigh and log-normal distributions
Author_Institution :
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.2777