Journals / Hacettepe Journal of Mathematics and Statistics / 2016 / Volume: 45 Issue: 6

The Zografos-Balakrishnan odd log-logistic family of distributions: Properties and Applications

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Publication Date
2016-12-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Two real data sets are used to illustrate the potentiality of the proposed family

📌 3 Key Takeaways

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Objective & Hypothesis:We study some mathematical properties of a new generator of continuous distributions with two additional shape parameters called the Zografos-Balakrishnan odd log-logistic family.
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Key Findings & Data:We present some special models and investigate the asymptotes and shapes.
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Conclusion & Impact:Two real data sets are used to illustrate the potentiality of the proposed family
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Estimation · Gamma distribution · Generated family

Abstract

We study some mathematical properties of a new generator of continuous distributions with two additional shape parameters called the Zografos-Balakrishnan odd log-logistic family. We present some special models and investigate the asymptotes and shapes. The density function of the new family can be expressed as a mixture of exponentiated densities based on the same baseline distribution. We derive a power series for its quantile function. Explicit expressions for the ordinary and incomplete moments, quantile and generating functions, Shannon and Rényi entropies and order statistics, which hold for any baseline model, are determined. We estimate the model parameters by maximum likelihood. Two real data sets are used to illustrate the potentiality of the proposed family

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Cite This Article

Cordeiro, G. M., Alizadeh, M., Ortega, E. M., Serrano, L. H. V. (2016). The Zografos-Balakrishnan odd log-logistic family of distributions: Properties and Applications. Hacettepe Journal of Mathematics and Statistics, Volume: 45 Issue: 6. https://ajindex.com/articles/1403082

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