STATISTICAL ANALYSIS OF COVID-19 DATA IN KINGDOM OF SAUDI ARABIA USING: SINE MODIFIED WEIBULL MODEL

As an extension of the modified Weibull (MW) model, a novel threeparameter lifetime distribution known as the sine modified Weibull (SMW) model is developed and examined. The statistical features of the SMW model, such as the quantile function, moments, moment generating function, and incomplete moment, are computed. The maximum likelihood approach of statistical inference is utilized to estimate the SMW distribution parameters. Applications to COVID-19 real data sets demonstrate the flexibility of the SMW model by comparing it to well-known models such as exponentiated exponential Weibull (EEW), exponentiated Kumaraswamy Weibull (EKW), exponentiated truncated inverse Weibull inverse Weibull (ETIWIW), and weighted exponentiated inverted Weibull (WEIW).