Goodness of fit tests provides guidance for evaluating the suitabil- ity of a potential input model. Exponential testing in goodness of fit test field has long been an interesting issue in statistical inferences. This paper Pre- sented the Lin-Wong divergence as our proposed measure of distance between distributions and compared its powerful with that of other well known distance measures using the empirical distribution function and Shannon entropy con- cept such as Anderson-Darling, Cramer-von Misses, Kolmogorov-Smirnov and Kullback-Leibler. Finally, the use of proposed test is shown in an illustrative example.

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