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    Scholars Journal of Engineering and Technology | Volume-11 | Issue-09
        An Improved XShanker Distribution with Applications to Rainfall and Vinyl Chloride Data
        Harrison O. Etaga, Mmesoma P. Nwankwo, Dorathy O. Oramulu, Okechukwu J. Obulezi
        
            Published:  Sept. 30, 2023 | 
             374
             294
        
        
        Pages:  212-224
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        Abstract
        This article is an improvement on the XShanker distribution having a single parameter which is the scale parameter and also in the class of Lindley distributions. It is named Double XShanker following the approach that generated it. The distributional properties which include the non-central moment with the associated statistics, the moment generating function, characteristic function, mean residual life function, stress-strength reliability function, Bonferroni and Lorenz curve functions, odd function, stochastic ordering, distribution of order statistics, and Reny entropy. The parameter was estimated using the method of maximum likelihood. Some visualizations based on theoretical values were presented. Some statistics were computed from theoretical values with convergence behavior recorded. A simulation study was conducted with 1000 samples of different sizes and the behavior observed is that as sample size increases the estimates decrease indicating precision. Data on rainfall and Vinyl chloride were used to validate the usefulness of the suggested distribution.
    

