M. Yusuf

TL;DR: In this paper, the authors developed an optimal statistical model to analyze COVID-19 data in order to model and analyze the COVID19 mortality rates in Somalia, which combines the log-logistic distribution and the tangent function, yielding the flexible extension loglogistic tangent (LLT) distribution, a new two-parameter distribution.

TL;DR: In this paper, a maximum product of the spacing method for the reliability of fuzzy stress intensity inference has been introduced, where both classical estimation methods and Bayesian estimation methods are used to estimate the reliability parameter.

TL;DR: In this paper, the authors reveal that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials, such as coal and oil.

TL;DR: A mathematical data visualization approach for analyzing pandemic data behaviors, such as exponential growth and deviations using the data related to COVID-19 events, is presented in this article, which includes studies on the implications of the COVID19 pandemic on finance sector.

TL;DR: In this paper, a linear regression analysis is performed on the data representing the YouTube advertising budget of a company and the sales data of that company, and a new statistical distribution is developed to provide the best description of YouTube advertising data.