Test statistics based on independence processes

Paper is devoted to investigating classical normalized empirical process of independence. Processes are investigated by using strong approximation methods 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 independence of random variable and event. The application to random censoring model also considered.

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