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      Corrigendum to “Statistical Inference of Odd Fréchet Inverse Lomax Distribution with Applications”

      Author(s): 1 , 2 , 3 , 4 , 3 , 5 , 6 , 7
      Publication date Created:
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      Journal: Complexity
      Publisher: Hindawi Limited

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          Statistical Inference of Odd Fréchet Inverse Lomax Distribution with Applications

          Ramadan A. ZeinEldin, Muhammad Ahsan ul Haq, Sharqa Hashmi … (2020)
          In this article, we propose and study a new three-parameter distribution, called the odd Fréchet inverse Lomax (OFIL) distribution, derived by combining the odd Fréchet-G family and the inverse Lomax distribution. Since Fréchet is a continuous distribution with wide applicability in extreme value theory, the new model contains these properties as well as the characteristics of the inverse Lomax distribution which make it more flexible and provide a good alternative for some well-known lifetime distributions. We initially present a linear representation of its functions and discussion on density and hazard rate function. Then, we study its various mathematical properties. Different estimation methods are used to estimate parameters of OFIL. The Monte Carlo simulation study is carried out to compare the efficiencies of different methods of estimation. The maximum likelihood estimation (MLE) method is used to estimate the OFIL parameters by considering three practical data applications. We show that the related model is the best in comparisons based on Akaike information criterion (AIC), Bayesian information criterion (BIC), and other goodness-of-fit measures.
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            Author and article information

            Contributors
            Ramadan A. ZeinEldin: (View ORCID Profile)
            Muhammad Ahsan ul Haq: (View ORCID Profile)
            Sharqa Hashmi: (View ORCID Profile)
            Mahmoud Elsehety: (View ORCID Profile)
            M. Elgarhy: (View ORCID Profile)
            Journal
            Title: Complexity
            Abbreviated Title: Complexity
            Publisher: Hindawi Limited
            ISSN (Electronic): 1099-0526
            ISSN (Print): 1076-2787
            Publication date Created: October 30 2020
            Publication date (Print): October 30 2020
            Volume: 2020
            Page: 1
            Affiliations
            [1 ]Deanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi Arabia
            [2 ]Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt
            [3 ]College of Statistical & Actuarial Sciences, University of the Punjab, Lahore, Pakistan
            [4 ]Quality Enhancement Cell, National College of Arts, Lahore, Pakistan
            [5 ]Lahore College for Women University (LCWU), Lahore, Pakistan
            [6 ]King Abdulaziz University, Jeddah, Saudi Arabia
            [7 ]Valley High Institute for Management Finance and Information Systems, Obour, Qaliubia 11828, Egypt
            Article
            DOI: 10.1155/2020/7427686
            SO-VID: 003dd704-d85c-428a-aca7-5c211d0a0bb9
            Copyright © © 2020
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            https://creativecommons.org/licenses/by/4.0/

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