Application of Kumaraswamy Inverse Exponential Distribution to Real Lifetime Data
In this research, the Kumaraswamy Inverse Exponential distribution being a generalization of the Inverse Exponential distribution was applied to six real lifetime datasets. The idea is to assess its flexibility and superiority over its sub-models. Some other properties of the Kumaraswamy Inverse Exponential distribution were investigated in minute details. It was demonstrated and confirmed that the Kumaraswamy Inverse Exponential distribution performed better than the competing probability models except for data sets with variances far above the means. The performance was judged based on the log-likelihood and Akaike Information Criteria (AIC) values posed by the distributions.
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