The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data

Ehab M. Almetwally ()
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Ehab M. Almetwally: Delta University of Science and Technology

Annals of Data Science, 2022, vol. 9, issue 1, No 7, 140 pages

Abstract: Abstract 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.

Keywords: Odd Weibull family; Inverted Topp–Leone distribution; Maximum likelihood estimation; Maximum product spacing; COVID-19 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s40745-021-00329-w

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