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Journals / Gazi University Journal of Science / 2016 / Cilt: 29 - Sayı: 1

TRANSMUTED POWER FUNCTION DISTRIBUTION

Nadeem Shafique Butt
Muhammad Ahsan ul Haq
Rana Muhammad Usman
Ahmed A. Fattah
Pages
177–185
Publication Date
2016-03-21
DOI
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AI Summary & Key Takeaways

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

Two real data sets are used to compare the flexibility of the new model versus the other distributions

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study provides a three parameter Transmuted Power Function distribution that is the generalization of the Power Function distribution.
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Key Findings & Data:Structural properties of the proposed distribution was derived including survival, hazard rate, moments, quintiles, mode, Rényi entropy, smallest and largest densities of ordered statistics.
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Conclusion & Impact:Two real data sets are used to compare the flexibility of the new model versus the other distributions
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Transmuted · Power Function · Reliability Function

Abstract

This study provides a three parameter Transmuted Power Function distribution that is the generalization of the Power Function distribution. Structural properties of the proposed distribution was derived including survival, hazard rate, moments, quintiles, mode, Rényi entropy, smallest and largest densities of ordered statistics. Maximum likelihood method is used for estimating the model parameters. Two real data sets are used to compare the flexibility of the new model versus the other distributions

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Cite This Article

Butt, N. S., Haq, M. A. U., Usman, R. M., Fattah, A. A. (2016). TRANSMUTED POWER FUNCTION DISTRIBUTION. Gazi University Journal of Science, Cilt: 29 - Sayı: 1, 177–185. https://ajindex.com/articles/254644

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