Abstract
The Weibull distribution gives a flexible measurement that detailsthe probability distribution associated with the lifetime characteristics of a particular part orservice component. Itis commonly used to assess productreliability, analyze life data, and model failure times. It is a versatile distribution that can take on the characteristics of other types of distributions, based on the value of the shape parameter. Weibull-Pareto distribution has been introduced as a new type of application of the Weibull distribution. In this article, point and interval estimations for Weibull-Pareto distribution with censored and uncensored data are investigated. With real-time data applications, it is shown that Weibull-Pareto results are better against Exponential, Gamma, and Weibull distributions’ results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
