A New Generalization of the Half-Logistic Model using the Transformed-Transformer Approach with Application to Wind Speed Sample from Nigeria

  • K. F. Ojarigho Department of Statistics, University of Benin, Benin City, Nigeria
  • P. Osatohanmwen School of Science and Technology, Pan-Atlantic University, Lagos, Nigeria
  • C. O. Odijie Department of Statistics, University of Benin, Benin City, Nigeria
  • F. O. Oyegue Department of Statistics, University of Benin, Benin City, Nigeria
  • A. Iduseri Department of Statistics, University of Benin, Benin City, Nigeria
  • E. M. Ogbeide Department of Mathematics, Ambrose Ali University, Ekpoma, Nigeria
Keywords: exponentiated family, half-logistic distribution, maximum likelihood estimation, Monte Carlo simulation, transformed-transformer, Weibull distribution

Abstract

In this paper, a new generalization of the half-logistic distribution was introduced and called the ‘Odd Weibull Exponentiated Half-Logistic Distribution (OWEHLD)’. The OWEHLD was realized by using the Weibull distribution to transform the exponentiated half-logistic distribution using the quantile function of the log-logistic distribution or the odd ratio as link. This approach for generalizing the half-logistic distribution is the so-called ‘transformed-transformer approach’. Several mathematical properties of the OWEHLD were derived and studied and the maximum likelihood estimation method was employed in estimating its parameters. Real life data sets including a wind speed sample from Nigeria were further used to test the applicability of the new distribution.

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Published
2023-10-05
How to Cite
Ojarigho, K. F., Osatohanmwen, P., Odijie, C. O., Oyegue, F. O., Iduseri, A., & Ogbeide, E. M. (2023). A New Generalization of the Half-Logistic Model using the Transformed-Transformer Approach with Application to Wind Speed Sample from Nigeria. Earthline Journal of Mathematical Sciences, 14(1), 1-21. https://doi.org/10.34198/ejms.14124.001021
Section
Articles