• Title of article

    Reliability Evaluation of an Industrial System Using Lomax-Lindley Distribution

  • Author/Authors

    Maihulla ، Anas Sani Department of Mathematics - Faculty of Science - Sokoto State University , Yusuf ، Ibrahim Department of Mathematical Sciences, Operation Research Group - Faculty of Physical Sciences - Bayero University , Khoo ، Michael B. C. School of Mathematical Sciences - Universiti Sains Malaysia , Gatawa ، Ramatu Idris Department of Mathematics - Yusuf Maitama Sule University

  • From page
    45
  • To page
    50
  • Abstract
    In this study, two parameters of the Lomax-Lindley distribution were developed, which generalized the existing Lindley distribution and has the growing and decreasing properties of the current distribution. The newly suggested Lomax-Lindley distribution parameters were estimated using maximum likelihood estimators (MLEs). Maximum likelihood estimators (MLEs) are biased for small and intermediate sample sizes. The two-parameter Lindley (TPL) distribution is increasingly being utilized to characterize data on lifetime and survival times because distribution can provide a better fit than several existing lifetime models. A real-world industrial system application is also provided to demonstrate how the concepts might be applied. The Mat Lab program was utilized for both the numerical result and the graphical representation.
  • Keywords
    Lomax , Lindley , Reliability , Industrial system , Distribution , Sample size
  • Journal title
    International Journal of Reliability, Risk and Safety: Theory and Application
  • Journal title
    International Journal of Reliability, Risk and Safety: Theory and Application
  • Record number

    2781273