Matrix Science Mathematic (MSMK)

The goal of this work is to use the T-R(y) family technique to create the Raleigh Weibull Distribution (RWD), a new probability distribution that may be used to fit real-world data. A Covid-19 data set that was acquired from Mexico was used to develop and fit some of the newly suggested distribution’s features. Different estimate methodologies were discussed, and the properties of the probability density function (pdf) and cumulative distribution function (CDF) were developed. The analysis shows that the extra form elements in the suggested model make the new distribution more flexible than the present distribution, which makes it more flexible than the current models. According to the fitted findings, the suggested RWD performed better than the existing distributions. Compared to the current Rayleigh Distribution, the recommended distribution (RWD) better fits real-world data. Consequently, a distribution (RWD) that can handle asymmetric datasets for both left- and right-skewed data was developed and different methods for estimating were explained. The analysis shows that the extra form elements in the suggested model make the new distribution more flexible than the present distribution, which makes it more flexible than the current models.