TY - EJOU
AU - Alotaibi, Refah
AU - Okasha, Hassan
AU - Nassar, Mazen
AU - Elshahhat, Ahmed
TI - A Novel Modified Alpha Power Transformed Weibull Distribution and Its Engineering Applications
T2 - Computer Modeling in Engineering \& Sciences
PY - 2023
VL - 135
IS - 3
SN - 1526-1506
AB - This paper suggests a new modified version of the traditional Weibull distribution by adding a new shape parameter utilising the modified alpha power transformed technique. We refer to the new model as modified alpha power transformed Weibull distribution. The attractiveness and significance of the new distribution lie in its power to model monotone and non-monotone failure rate functions, which are quite familiar in environmental investigations. Its hazard rate function can be decreasing, increasing, bathtub and upside-down then bathtub shaped. Diverse structural properties of the proposed model are acquired including quantile function, moments, entropies, order statistics, residual life and reversed failure rate function. The parameters of the distribution were estimated using the maximum likelihood function. The maximum likelihood method is employed to estimate the model parameters and the approximate confidence intervals are also computed. Via a simulation study, the performance of the point and interval estimates are compared using different criteria. Employing real lifetime data sets, we verify that the offered model furnishes a better fit than some other lifetime models including Weibull, gamma and alpha power Weibull models.
KW - Weibull distribution; modified alpha power transformation method; maximum likelihood; entropy; order statistics
DO - 10.32604/cmes.2023.023408