On deviations between kernel-type estimators of a distribution density in p≥2 independent samples

摘要

In the article, the tests are constructed for the hypotheses that p = 2 independent samples have the same distribution density (homogeneity hypothesis) or have the same well-defined distribution density (goodness-of-fit test). The limiting power of the constructed tests is found for some local "close" alternatives.