New Statistical Properties for Beta Inverted Exponential Distribution and Application on Covid-19 Cases in Saudi Arabia


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Authors

  • Rana A. Bakoban Department of Statistics, College of Science, University of Jeddah, Jeddah, Saudi Arabi
  • Maha A. Aldahlan Department of Statistics, College of Science, University of Jeddah, Jeddah, Saudi Arabi
  • Leena S. Alzahrani Department of Statistics, College of Science, University of Jeddah, Jeddah, Saudi Arabi

Keywords:

Beta inverted exponential distribution, COVID-19, Hypergeometric function, Maximum likelihood estimation, Monte Carlo simulation, Newton-Raphson method, R{\'{e}}nyi and Shannon entropies, Statistical characterizations, Stress\textendash strength reliability

Abstract

In this article new statistical properties of the beta inverted exponential distribution are investigated. The harmonic mean, mode, quantile function, median, skewness as well as kurtosis and interquartile range are studied. Important measures, which have a wide range of application in many fields, are considered. Among these measures stress\textendash strength reliability and R{\'{e}}nyi and Shannon entropies as well as order statistics. Also, the maximum likelihood estimation for the unknown parameters, survival and hazard functions are derived based on complete samples. The performance of the estimators is considered in terms of their biases and mean square error via Monte Carlo simulation. The potentiality of this distribution is illustrated through the daily COVID-19 cases observed in Jeddah, Saudi Arabia from $2^{nd}$ May to $6^{th}$ July 2020 as well as two other real data sets.

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Published

15-09-2020

How to Cite

Rana A. Bakoban, Maha A. Aldahlan, & Leena S. Alzahrani. (2020). New Statistical Properties for Beta Inverted Exponential Distribution and Application on Covid-19 Cases in Saudi Arabia. International Journal of Mathematics And Its Applications, 8(3), 233–254. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/149

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Section

Research Article