Goodness of t tests for logistic distribution based on Phi-divergence


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.

DOI Code: 10.1285/i20705948v11n1p185

Keywords: Logistic distribution; Phi-divergence; Goodness of t tests; Kolmogorov-Smirnov; Anderson-Darling.

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