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A New Odd Beta Prime-Burr X Distribution with Applications to Petroleum Rock Sample Data and COVID-19 Mortality Rate

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  • Ahmad Abubakar Suleiman

    (Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
    Department of Statistics, Aliko Dangote University of Science and Technology, Wudil 713281, Nigeria)

  • Hanita Daud

    (Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia)

  • Narinderjit Singh Sawaran Singh

    (Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Malaysia)

  • Aliyu Ismail Ishaq

    (Department of Statistics, Ahmadu Bello University, Zaria 810107, Nigeria)

  • Mahmod Othman

    (Department of Information System, Universitas Islam Indragiri, Riau 29212, Indonesia)

Abstract

In this article, we pioneer a new Burr X distribution using the odd beta prime generalized (OBP-G) family of distributions called the OBP-Burr X (OBPBX) distribution. The density function of this model is symmetric, left-skewed, right-skewed, and reversed-J, while the hazard function is monotonically increasing, decreasing, bathtub, and N-shaped, making it suitable for modeling skewed data and failure rates. Various statistical properties of the new model are obtained, such as moments, moment-generating function, entropies, quantile function, and limit behavior. The maximum-likelihood-estimation procedure is utilized to determine the parameters of the model. A Monte Carlo simulation study is implemented to ascertain the efficiency of maximum-likelihood estimators. The findings demonstrate the empirical application and flexibility of the OBPBX distribution, as showcased through its analysis of petroleum rock samples and COVID-19 mortality data, along with its superior performance compared to well-known extended versions of the Burr X distribution. We anticipate that the new distribution will attract a wider readership and provide a vital tool for modeling various phenomena in different domains.

Suggested Citation

  • Ahmad Abubakar Suleiman & Hanita Daud & Narinderjit Singh Sawaran Singh & Aliyu Ismail Ishaq & Mahmod Othman, 2023. "A New Odd Beta Prime-Burr X Distribution with Applications to Petroleum Rock Sample Data and COVID-19 Mortality Rate," Data, MDPI, vol. 8(9), pages 1-24, September.
  • Handle: RePEc:gam:jdataj:v:8:y:2023:i:9:p:143-:d:1243057
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    References listed on IDEAS

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    1. Muhammad Bilal & Muhammad Mohsin & Muhammad Aslam & Hussein Abulkasim, 2021. "Weibull-Exponential Distribution and Its Application in Monitoring Industrial Process," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, March.
    2. Salem A. Alyami & Ibrahim Elbatal & Naif Alotaibi & Ehab M. Almetwally & Mohammed Elgarhy, 2022. "Modeling to Factor Productivity of the United Kingdom Food Chain: Using a New Lifetime-Generated Family of Distributions," Sustainability, MDPI, vol. 14(14), pages 1-28, July.
    3. Ehab M. Almetwally, 2022. "The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data," Annals of Data Science, Springer, vol. 9(1), pages 121-140, February.
    4. Ayman Alzaatreh & Carl Lee & Felix Famoye, 2013. "A new method for generating families of continuous distributions," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 63-79, June.
    5. Mashail M. AL Sobhi & Naeem Jan, 2022. "Statistical Inference and Mathematical Properties of Burr X Logistic-Exponential Distribution with Applications to Engineering Data," Journal of Mathematics, Hindawi, vol. 2022, pages 1-21, April.
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