A New Extension of the Exponentiated Weibull Model Mathematical Properties and Modelling. (28th April 2022)

• Record Type: Journal Article
• Authors: Badr, Majdah Mohammed; Badawi, Amal T.; Alzubidi, Alya S.
• Other Names: Gulzar Muhammad Academic Editor.
• Is Part Of: Journal of function spaces. Volume 2022(2022)
• Publication Date: 2022-04-28
• Subjects: Function spaces -- Periodicals; 515.7305
• DOI: 10.1155/2022/4669412
• Languages: English
• ISSNs: 2314-8896

Abstract

Abstract : Recently, several writers have extended the exponentiated Weibull distribution. The five-parameter exponentiated Weibull-exponentiated Weibull (EW-EW) distribution is introduced. In terms of fit, the EW-EW distribution outperforms the EW distribution. Some EW-EW distribution features, such as precise formulas for ordinary moments, quantile, median, and order statistics, are found. Model parameters were estimated using the maximum likelihood technique (ML). The behavior of the various estimators was investigated using a simulated exercise. A medical dataset was utilized to evaluate the practical importance of the EW-EW distribution using additional criteria such as the Akaike information criterion (AKINC), the correct AKINC (COAKINC), the Bayesian INC (BINC), and the Hannan-Quinn INC (HQINC). In terms of performance, we show that the EW-EW distribution beats other models.