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chi-square goodness of fit test

Chi-square goodness of fit tests are performed on simulated data to compare the fit of the models.

The theory of weighted empirical processes is an important element for (generalized) nonparametric likelihood ratio goodness of fit test.

We evaluate the statistical visibility of information hiding algorithms based on the coefficient of kurtosis, differential entropy, goodness of fit test and Kullback entropy.

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