Abstract:
Probability distributions have prominent applications in different sectors. Among these sectors, probability models are mostly used to analyze
datasets in engineering. Among the existing probability distributions, the two-parameter Weibull model plays an important role in providing
the best fit for engineering and other related datasets. This paper introduces a new method called a novel updated-W (denoted by “NU-W”)
family of distributions that is used to develop a new updated form of the Weibull distribution. The proposed updated extension of the Weibull
model is referred to as a novel updated Weibull (denoted as NU-Weibull) distribution. Distributional properties such as identifiability, heavytailed
characteristic, and rth moment of the NU-W family are derived. The residual life analysis of the NU-Weibull distribution is provided.
Finally, two physical applications from civil engineering and reliability sectors are analyzed to demonstrate the application and effectiveness
of the NU-Weibull distribution. The data fitting results show that the NU-Weibull distribution is a more suitable and best fit for engineering
datasets.
