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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In this paper, we introduces a new distribution called Type II half logistic exponentiated lomax (TIIHLEE) distribution established from Type II half logistic G family of distribution We investigate some of its mathematical and statistical properties such as the explicit form of the ordinary moments, moment generating function, conditional moments, mean deviations, residual life and Renyi entropy. The maximum likelihood method is used to estimate the model parameters. Simulation studies were conducted to assess the finite sample behavior of the maximum likelihood estimators. Finally, we illustrate the importance and applicability of the model by the study of two real data sets.
bukoye_abdulwasiu. 2021. \u201cType Ii Half Logisitic Exponentiated Lomax Distribution\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 21 (GJSFR Volume 21 Issue F3): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 105
Country: Unknown
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Bukoye Abdulwasiu, Bada Olatunbosn, Muritala Abdulkabir, Ajadi, A.Akeem (PhD/Dr. count: 0)
View Count (all-time): 158
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Publish Date: 2021 07, Fri
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In this paper, we introduces a new distribution called Type II half logistic exponentiated lomax (TIIHLEE) distribution established from Type II half logistic G family of distribution We investigate some of its mathematical and statistical properties such as the explicit form of the ordinary moments, moment generating function, conditional moments, mean deviations, residual life and Renyi entropy. The maximum likelihood method is used to estimate the model parameters. Simulation studies were conducted to assess the finite sample behavior of the maximum likelihood estimators. Finally, we illustrate the importance and applicability of the model by the study of two real data sets.
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