Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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We developed a new three-parameter extended inverse Lomax distribution called the Lehmann Type-2 inverse Lomax distribution. We demonstrated its superiority over the inverse Lomax distribution through various theoretical and practical approaches. The derived properties include the quantiles, moments, incomplete moments, entropy (Renyi and Tsallis), and order statistics. Finally, we consider two life-time data sets to show how the practitioner can take advantage of the new Type-2 inverse Lomax model. .
Olayode Fatoki. 2026. \u201cLehmann Type-2 Inverse Lomax Distribution and Applications to Reliability Data\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 22 (GJSFR Volume 22 Issue F3): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 103
Country: Nigeria
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Olayode Fatoki, Adeleye Najeem Friday, Adefolarin David Adekunle (PhD/Dr. count: 0)
View Count (all-time): 126
Total Views (Real + Logic): 1363
Total Downloads (simulated): 18
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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We developed a new three-parameter extended inverse Lomax distribution called the Lehmann Type-2 inverse Lomax distribution. We demonstrated its superiority over the inverse Lomax distribution through various theoretical and practical approaches. The derived properties include the quantiles, moments, incomplete moments, entropy (Renyi and Tsallis), and order statistics. Finally, we consider two life-time data sets to show how the practitioner can take advantage of the new Type-2 inverse Lomax model. .
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