Harmonic Mixture Weibull-G Family of Distributions: Properties, Regression and Applications to Medical Data. (28th November 2022)

• Record Type: Journal Article
• Authors: Zamanah, Ernest; Nasiru, Suleman; Luguterah, Albert
• Other Names: Chesneau Christophe Academic Editor.
• Is Part Of: Computational and mathematical methods. (2022)
• Publication Date: 2022-11-28
• Subjects: Mathematics -- Data processing -- Periodicals; Numerical analysis -- Periodicals; Numerical analysis; Mathematics -- Data processing; Periodicals; 004.0151
• DOI: 10.1155/2022/2836545
• Languages: English
• ISSNs: 2577-7408

Abstract

Abstract : In recent years, the developments of new families of probability distributions have received greater attention as a result of desirable properties they exhibit in the modelling of data sets. The Harmonic Mixture Weibull-G family of distributions was developed in this study. The statistical properties were comprehensively presented and five special distributions developed from the family. The hazard functions of the special distributions were shown to exhibit various forms of monotone and nonmonotone shapes. The applications of the developed family to real data sets in medical studies revealed that the special distribution (Harmonic mixture Weibul Weibull distribution) provided a better fit to the data sets than other competitive models. A location-scale regression model was developed from the family and its application demonstrated using survival time data of hypertensive patients.