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.
DO - 10.2298/TSCI20S1069A
ER -