2018 •
Goodness of t tests for logistic distribution based on Phi-divergence
Authors: Al-Omari, Amer Ibrahim, Zamanzade, Ehsan
Venue: University of Salento
Type: Dataset
Abstract: Some goodness of fit tests for logistic distribution based on Phi-divergenceare developed. The powers of the introduced tests are compared with sometraditional goodness of t tests including Kolmogorov-Smirnov, Anderson-Darling and Cramer-von Mises tests for logistic distribution using MonteCarlo simulation. It is shown the proposed tests have good performance ascompared with their competitors in the literature. A real data set is used forillustration.
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