This paper, investigates the problem of testing that non-negative random variables X and Y are independent against the alternative that Y stochastically increasing (SI) in X. Two new statistical tests, based on the kernel density estimator, are proposed. Their limiting distributions are derived. The finite-sample performance of the proposed tests in comparison with various alternative tests, is studied.
