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Journals / Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics / 2020 / Cilt: 69 - Sayı: 2

Some comments on methodology of cubic rank transmuted distributions

Mehmet YILMAZ
Monireh HAMELDARBANDI
Pages
1161–1170
Publication Date
2020-12-31
DOI
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AI Summary & Key Takeaways

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

In this way, both the parameter space is expanded and the process of establishing the cubic transformed distribution family is given.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, at first a new polynomial rank transmutation is proposed.
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Key Findings & Data:Then, a new cubic rank transmutation is introduced by simplifying the set of transmutation parameters in order to improve its usefulness in statistical modeling.
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Conclusion & Impact:In this way, both the parameter space is expanded and the process of establishing the cubic transformed distribution family is given.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Polynomial rank transmutation · cubic rank transmutation · quadratic rank transmutation

Abstract

In this study, at first a new polynomial rank transmutation is proposed. Then, a new cubic rank transmutation is introduced by simplifying the set of transmutation parameters in order to improve its usefulness in statistical modeling. The purpose of this comment is to clarify some issues that exist in the methodology of obtaining the distribution by the cubic transmutation and the stage of proofing it. In this way, both the parameter space is expanded and the process of establishing the cubic transformed distribution family is given.

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Cite This Article

YILMAZ, M., HAMELDARBANDI, M. (2020). Some comments on methodology of cubic rank transmuted distributions. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Cilt: 69 - Sayı: 2, 1161–1170. https://ajindex.com/articles/746781

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