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A GENERALIZATION OF THE LINEAR EXPONENTIAL MODEL: PROPERTIES AND REAL DATA MODELING
Keywords:
linear exponential model, modeling, maximum likelihood, Clayton copula.DOI:
https://doi.org/10.17654/0972361722032Abstract
The goal of this study is to introduce the generalized odd log-logistic linear exponential distribution, which is an extension of the linear exponential lifespan model. Some of its characteristics are derived. Many bivariate and multivariate distributions are derived using simple copulas. The maximum likelihood approach is used to estimate the unknown parameters of the new distribution using full data. The novel distribution outperforms numerous relevant competing distributions and is a good alternative to all of these distributions for calculating relief and survival periods.
Received: January 25, 2022
Revised: March 1, 2022
Accepted: March 4, 2022
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