A New Lifetime Exponential-X Family of Distributions with Applications to Reliability Data. (18th August 2020)

• Record Type: Journal Article
• Authors: Huo, Xiaoyan; Khosa, Saima K.; Ahmad, Zubair; Almaspoor, Zahra; Ilyas, Muhammad; Aamir, Muhammad
• Other Names: Falsone Giovanni Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-08-18
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/1316345
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Modeling reliability data with nonmonotone hazards is a prominent research topic that is quite rich and still growing rapidly. Many studies have suggested introducing new families of distributions to modify the Weibull distribution to model the nonmonotone hazards. In the present study, we propose a new family of distributions called a new lifetime exponential- X family. A special submodel of the proposed family called a new lifetime exponential-Weibull distribution suitable for modeling reliability data with bathtub-shaped hazard rates is discussed. The maximum-likelihood estimators of the model parameters are obtained. A brief Monte Carlo simulation study is conducted to evaluate the performance of these estimators. For illustrative purposes, two real applications from reliability engineering with bathtub-shaped hazard functions are analyzed. The practical applications show that the proposed model provides better fits than the other nonnested models.