Data-driven goodness-of-fit tests

A general method for constructing tests of statistical hypotheses is proposed. The method offers a generalization of the theory of score tests. Our tests are incorporated with model selection rules to choose reasonable model dimensions automatically by the data. A unified approach for proving consistency of the tests is developed.