Sine-Weibull Geometric Mixture and Nonmixture Cure Rate Models with Applications to Lifetime Data

Irene Dekomwine Angbing, Suleman Nasiru, Dioggban Jakperik and Niansheng Tang

International Journal of Mathematics and Mathematical Sciences, 2022, vol. 2022, 1-13

Abstract: In this study, two new distributions are developed by compounding Sine-Weibull and zero-truncated geometric distributions. The quantile and ordinary moments of the distributions are obtained. Plots of the hazard rate functions of the distributions show that the distributions exhibit nonmonotonic failure rates. Also, plots of the densities of the distributions show that they exhibit decreasing, skewed, and approximately symmetric shapes, among others. Mixture and nonmixture cure rate models based on these distributions are also developed. The estimators of the parameters of the cure rate models are shown to be consistent via simulation studies. Covariates are introduced into the cure rate models via the logit link function. Finally, the performance of the distributions and the cure rate and regression models is demonstrated using real datasets. The results show that the developed distributions can serve as alternatives to existing models for survival data analyses.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jijmms:1798278

DOI: 10.1155/2022/1798278

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