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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Some advantages are found in this study.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we perform the computation of the Laplace-Stieljes transform of Lognormal and Weibull distribution, in which the upper limit of the definite integral from infinite to 1 by using proper transformation.
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Key Findings & Data:In this paper, we perform the computation of the Laplace-Stieljes transform of Lognormal and Weibull distribution, in which the upper limit of the definite integral from infinite to 1 by using proper transformation.
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Conclusion & Impact:Some advantages are found in this study.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, we perform the computation of the Laplace-Stieljes transform of Lognormal and Weibull distribution, in which the upper limit of the definite integral from infinite to 1 by using proper transformation. Some advantages are found in this study.
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Cite This Article
KE, J., WU, C. H., PEARN, W. L. (2011). Notes on the computation of Laplace-Stieljes transform for Lognormal and Weibull. Mathematical and Computational Applications, Cilt: 16 - Sayı: 3, 641–648. https://ajindex.com/articles/279892