A flexible statistical distribution for capturing complex patterns in industrial data
The effective modeling of real-world data requires flexible statistical distributions to accurately capture complex patterns. For that purpose, this paper introduces an extension of the XLindley distribution, specifically designed for modeling textile data. The suggested Marshall-Olkin transmuted XL...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-07-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825006131 |
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