The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application. (7th June 2022)

• Record Type: Journal Article
• Authors: Meriem, Bouhadjar; Gemeay, Ahmed M.; Almetwally, Ehab M.; Halim, Zeghdoudi; Alshawarbeh, Etaf; Abdulrahman, Alanazi Talal; El-Raouf, M. M. Abd; Hussam, Eslam
• Other Names: Gulzar Muhammad Academic Editor.
• Is Part Of: Journal of function spaces. Volume 2022(2022)
• Publication Date: 2022-06-07
• Subjects: Function spaces -- Periodicals; 515.7305
• DOI: 10.1155/2022/9094078
• Languages: English
• ISSNs: 2314-8896

Abstract

Abstract : The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analytically. The proposed model's fuzzy dependability was statistically assessed. Numerous estimation techniques have been devised for the purpose of estimating the proposed model parameters. The behaviour of these factors was examined using randomly generated data and developed estimation approaches. The suggested model seems to be superior to its base model and other well-known and related models when applied to the COVID-19 data set.