A new approach of parameterization is proposed to construct a general goodnessof-fit test. It can not only generate traditional tests (including the Kolmogorov–Smirnov, Cramér– von Mises and Anderson–Darling tests) but also produce new types of omnibus tests, which are generally much more powerful than the old ones.

Many works have been carried out to compare the efficiency of several goodness of fit procedures for identifying whether or not a particular distribution could adequately explain a data set. In this paper a study is conducted to investigate the power of several goodness of fit tests such as Kolmogorov Smirnov (KS), Anderson-Darling(AD), CramervonMises (CV) and a proposed modification of Kolmogo...

3 Statistical methods 4 3.1 Wald-Wolfowitz test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2 Kolmogorov-Smirnov tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.3 Mean deviation tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.4 Aggregated F-test . . . . . . ....

This paper introduces specification tests for conditional moment restrictions. The proposed tests are generalizations of the Kolmogorov–Smirnov and Cramer–von Mises tests and they are consistent against all ] Œ alternatives to the null hypothesis, powerful against 1 / n local alternatives and not dependent on any smoothing parameter. A nonparametric bootstrap procedure based on recentered crite...