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[Retracted] Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model

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  • Maha A. Aldahlan

Abstract

A more flexible two‐parameter model named the Topp Leone inverse Lindley model is investigated. Some basic mathematical properties such as quantile, moments, order statistics, and Rényi entropy of the new distribution are considered. Plot analysis for mean, variance, skewness, and kurtosis is performed. The density of the new model can be right skewed and decreasing with unimodal and bimodal shapes. Also, its hazard rate function can be decreasing and upside‐down. The maximum likelihood (ML) estimation method is used to estimate the parameters of the distribution. The simulation study is executed to investigate the effectiveness of the estimates. The potential of the distribution is demonstrated through the application of the real biomedical dataset.

Suggested Citation

  • Maha A. Aldahlan, 2022. "[Retracted] Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:1985861
    DOI: 10.1155/2022/1985861
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    References listed on IDEAS

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    1. Sandeep Kumar & Arpit Jain & Anand Prakash Shukla & Satyendr Singh & Rohit Raja & Shilpa Rani & G. Harshitha & Mohammed A. AlZain & Mehedi Masud, 2021. "A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, June.
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