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Unit Modified Burr-III Distribution: Estimation, Characterizations and Validation Test

Annals of Data Science volume 10, pages 415–440 (2023)Cite this article

Abstract

In this paper, a new three-parameter unit probability distribution is proposed. The new model is a generalization of Burr III distribution, and it is more flexible than some existing well-known distribution due to its different shapes of the hazard function and probability density functions. The mathematical properties of this distribution are presented, including moments, reliability measures, mean residual life, and characterizations, and we also propose a modified Chi squared goodness-of-fit test based on Nikulin–Rao–Robson statistic Y2 in the presence of complete and censored data. The parameters related to the proposed distribution are estimated using well-known estimation methods. A numerical simulations study is conducted for reinforcement of the results. In the end, we considered two real datasets to illustrate the applicability of the proposed model.

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Authors and Affiliations

  1. College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan

    Muhammad Ahsan ul Haq & Sharqa Hashmi

  2. Quality Enhancement Cell, National College of Arts, Lahore, Pakistan

    Muhammad Ahsan ul Haq

  3. Lahore College for Women University (LCWU), Lahore, Pakistan

    Sharqa Hashmi

  4. Laboratory of Probability and Statistics LaPS, University Badji Mokhtar, Annaba, Algeria

    Khaoula Aidi

  5. Institute of Mathematical Science and Computing, University of São Paulo, São Carlos, SP, Brazil

    Pedro Luiz Ramos & Francisco Louzada

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  1. Muhammad Ahsan ul Haq
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  2. Sharqa Hashmi
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  3. Khaoula Aidi
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  4. Pedro Luiz Ramos
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  5. Francisco Louzada
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Correspondence to Muhammad Ahsan ul Haq.

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Haq, M.A., Hashmi, S., Aidi, K. et al. Unit Modified Burr-III Distribution: Estimation, Characterizations and Validation Test. Ann. Data. Sci. 10, 415–440 (2023). https://doi.org/10.1007/s40745-020-00298-6

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  • DOI: https://doi.org/10.1007/s40745-020-00298-6

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