Goodness of Fit Tests for Normality Based on Kernel Entropy Estimators

Ayman Baklizi, Omar Eidous


We develop new tests of goodness of fit for normality that are based on certain kernel estimators of the entropy. The test is investigated and its performance is compared with other well-known tests. The proposed test appears to be competitive in the situations considered.


Entropy, Goodness of Fit, Kernel, Normal Distribution

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