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The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data
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The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data
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Journal Article
The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data
2022
Overview
This paper aims at defining an optimal statistical model for the COVID-19 distribution in the United Kingdom, and Canada. A combining the inverted Topp–Leone distribution and the odd Weibull family introduces a new lifetime distribution with a three-parameter to formulate the odd Weibull inverted Topp–Leone (OWITL) distribution. As a simple linear representation, hazard rate function, and moment function, this new distribution has several nice properties. To estimate the unknown parameters of OWITL distribution, maximum likelihood, least-square, weighted least-squares, maximum product spacing, Cramér–von Mises estimators, and Anderson–Darling estimation methods are used. To evaluate the use of estimation techniques, a numerical outcome of the Monte Carlo simulation is obtained.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
