Application of Conformable Fractional Kumaraswamy Distribution

In probability and other applied sciences, distributions are used extensively. We employ fractional differential equations in this study (FDE). The work offers conformable fractional analogs of density, cumulative distribution, survival, and hazard functions, four fundamental ideas in probability distributions of random variables. Additionally, it introduces r^th moments, r^th central moments, variance, skewness, and kurtosis, as well as conformable fractional analogs to anticipated values. Additionally, it introduces conformable fractional analogs of Shannon and other entropy metrics. To the conformable fractional Kumaraswamy distribution, all notions had been applied.