Test statistics based on independence processes

Abstract

Paper is devoted to investigating classical normalized empirical process of independence. Processes are investigated by using strong approximation meth-ods with best rate of convergence. We also consider the problems of finding of limit distributions of certain classes of statistics for testing the hypothesis of in-dependence of random variable and event. The application to random censoring model also considered.