Derivation of a New Odd Exponential-Weibull Distribution

Authors

  • Musa Ndamadu Farouq

    Kaduna Polytechnic, Kaduna State, Nigeria
    Author
  • Nwaze Obini Nweze

    Nasarawa State University Keffi, Nigeria
    Author
  • Monday Osagie Adenomon

    Nasarawa State University Keffi, Nigeria
    Author
  • Mary Unekwu Adehi

    Nasarawa State University Keffi, Nigeria
    Author

DOI:

https://doi.org/10.4314/tf0ft393

Keywords:

Odd-Exponential-G, Weibull, Quantile function, survival function, Maximum likelihood, Order Statistics

Abstract

The study of statistical distributions has led to the development of numerous extensions of well-known continuous distributions to enhance their flexibility and applicability across various fields. In this paper, we introduce a new three-parameter distribution known as the Odd Exponential-Weibull (OE-W) distribution, which extends the traditional Weibull distribution by incorporating  additional parameter. We thoroughly investigate the mathematical properties of the OE-W distribution, deriving explicit formulas for the quantile function, moments, moment-generating function, survival function, hazard function, entropy, and order statistics. Parameter estimation is conducted using the maximum likelihood estimation (MLE) method, which is known for its robustness. To assess the reliability and accuracy of these parameter estimates, a Monte Carlo simulation study is performed. The simulation results indicate that the MLE method consistently yields reliable and accurate estimates for the parameters of the OE-W distribution. The introduction of this new distribution provides a valuable tool for modeling and analyzing data in fields such as reliability engineering and survival analysis, where flexible and accurate probability distributions are crucial.

 

Author Biographies

  • Musa Ndamadu Farouq, Kaduna Polytechnic, Kaduna State, Nigeria

    Department of Mathematics and  Statistics

  • Nwaze Obini Nweze, Nasarawa State University Keffi, Nigeria

    Department of Statistics

  • Monday Osagie Adenomon, Nasarawa State University Keffi, Nigeria

    Department of Statistics

  • Mary Unekwu Adehi, Nasarawa State University Keffi, Nigeria

    Department of Statistics

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Published

2024-09-19

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