Sine exponential pareto distribution: properties, estimation, and applications

Abstract

The work of the Sine-G distribution family is extended in this paper. The applicability of the sine exponential Pareto distribution is highlighted via the goodness-of-fit approach to data. Various properties of the suggested distribution, including moments, quantiles, entropy, and order statistics are acquired. For model parameters estimation, the maximum likelihood technique is used. Four extensive data sets are empirically used to demonstrate the potential significance and applicability of the proposed distribution. The results of the investigation indicated that the Sine Exponential Pareto distribution was superior than numerous other competing distributions.