Abstract:
Limiting law problems for the distributions of squared norms of estimation errors (1) are considered. The behaviour of the goodness-of-fit test based on these statistics being studied, the limiting power for some local alternatives is calculated. The goodness-of-fit test based on density estimates is shown to be equivalent to the $\chi^2$-test.