2000•Communications for Statistical Applications and MethodsRequires access
Data-Driven Smooth Goodness of Fit Test by Nonparametric Function Estimation
Jongtae Kim
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Abstract
The purpose of this paper is to study of data-driven smoothing goodness of it test, when the hypothesis is complete. The smoothing goodness of fit test statistic by nonparametric function estimation techniques is proposed in this paper. The results of simulation studies for he powers of show that the proposed test statistic compared well to other.