Testing of statistical hypotheses in the splitting component model
The paper examines the problem of testing of the statistical significancy of parametrically close components of the probability distributions mixtures. To solve this problem the asymptotically most powerful test is suggested. The limiting distribution, power loss and asymptotic deficiency are found. The application of the test for the mixtures of normal and gamma distributions is examined in detail.