Computational Study of New Record-Based Transmuted Chen Distribution and Its Applications to the Failure Time and Iron Sheet Data
Abstract
This study is considered to introduce a novel distribution as an alternative to Chen distribution via the record-based transmutation method. This technique is based on the distributions of first two upper record values. Thus, we suggest a new special case based on Chen distribution in the family of record based transmuted distributions. We explore various distributional properties of the proposed model namely, quantile function, hazard function, median, moments, and stochastic ordering. Our distribution has three parameters and to estimate these parameters, we utilize nine different and well-known estimators. Then, we compare the performances of these estimators via a comprehensive simulation study. Also, we provide two real-world data examples to assess the fits the data sets the suggested model and its some competitors.