Robust methods of estimating the correlation coefficient

The paper is concerned with evaluating the correlation coefficient of a two-dimensional normal distribution with a sample «contaminated» with data distributed in a different way. Some conventional robust algorithms are studied and new ones are proposed. The possibility of employing these algorithms in robust estimation of covariance matrices and correlation functions of random processes is indicated.