TY - JOUR
TI - Goodness-of-fit tests for the beta Gompertz distribution
AU - Abu-Zinadah Hanaa
AU - Binkhamis Asmaa
JN - Thermal Science
PY - 2020
VL - 24
IS - 11
SP - 69
EP - 81
PT - Article
AB - This article studied the goodness-of-fit tests for the beta Gompertz  distribution with four parameters based on a complete sample. The parameters  were estimated by the maximum likelihood method. Critical values were found  by Monte Carlo simulation for the modified Kolmogorov-Smirnov,  Anderson-Darling, Cramer-von Mises, and Lilliefors test statistics. The  power of these test statistics founded the optimal alternative distribution.  Real data applications were used as examples for the goodness of fit tests.