• Title of article

    On Burr III-Inverse Weibull Distribution with COVID-19 Applications

  • Author/Authors

    Ahmad Bhatti, Fiaz National College of Business Administration and Economics, Lahore, PAKISTAN. , Salehabadi, SedighehMirzaei St. Jude Children’s Research Hospital - Memphis, TN, USA , Hamedani, Gholamhossein G. Marquette University, Milwaukee, USA.

  • Pages
    21
  • From page
    101
  • To page
    121
  • Abstract
    We introduce a flexible lifetime distribution called Burr III-Inverse Weibull (BIII-IW). The new proposed distribution has well-known sub-models. The BIII-IW density function includes exponential, left-skewed, right-skewed and symmetrical shapes. The BIII-IW model’s failure rate can be monotone and non-monotone depending on the parameter values. To show the importance of the BIII-IW distribution, we establish various mathematical properties such as random number generator, ordinary moments, conditional moments, residual life functions, reliability measures and characterizations. We address the maximum likelihood estimates (MLE) for the BIII-IW parameters and estimate the precision of the maximum likelihood estimators via a simulation study. We consider applications to two COVID-19 data sets to illustrate the potential of the BIII-IW model.
  • Keywords
    Moment , Reliability , Characterizations , Characterizations , Maximum Likelihood Estimation
  • Journal title
    Journal of the Iranian Statistical Society (JIRSS)
  • Serial Year
    2021
  • Record number

    2686938