has been cited by the following article(s):
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[1]
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Robust Estimation of Multiple Logistic Regression Model
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2024 |
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[2]
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Robust Estimators for Poisson Regression
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Open Journal of Statistics,
2023 |
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[3]
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Weighted Maximum Likelihood Technique for Logistic Regression
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Open Journal of Statistics,
2023 |
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[4]
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Ability of ordinal spline logistic regression model in the classification of nutritional status data
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Commun. Math. Biol. Neurosci.,
2023 |
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[5]
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THE ROBUST LOGISTIC REGRESSION MODEL ESTIMATION FOR PATIENTS INFECTED WITH COVID-19 VIRUS
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World Economics and …,
2022 |
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[6]
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Robust Estimation for Weibull Regression Model
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Gohary, E Yehia, A El-Raoof - التجارة والتمويل,
2022 |
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[7]
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Risk analysis of Ex-spool 16” mol: an insight of machine learning and experimental result
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… -European Journal of …,
2022 |
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[8]
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Analysis of Logistic Regression Model in Case Simulation Study and Real Data of Covid-19
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Akkad Journal Of Multidisciplinary Studies,
2022 |
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[9]
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Robust Logistic Modelling for Datasets with Unusual Points
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Journal of New Theory,
2021 |
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[10]
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Identification of Accounting Fraud Based on Support Vector Machine and Logistic Regression Model
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2021 |
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[11]
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Integration of logistic regression and multilayer perceptron for intelligent single and dual axis solar tracking systems
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International Journal of Intelligent Systems,
2021 |
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[12]
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L'anticipation de la défaillance des entreprises clientes des établissements bancaires marocains via la méthode de la régression logistique
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International Journal of Economic …,
2021 |
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[1]
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A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction
Alexandria Engineering Journal,
2025
DOI:10.1016/j.aej.2025.01.109
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[2]
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Identification of Accounting Fraud Based on Support Vector Machine and Logistic Regression Model
Complexity,
2021
DOI:10.1155/2021/5597060
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[3]
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Robust Logistic Modelling for Dataset with Unusual Points
Journal of New Theory,
2021
DOI:10.53570/jnt.971062
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[4]
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Robust Logistic Modelling for Datasets with Unusual Points
Journal of New Theory,
2021
DOI:10.53570/jnt.971062
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[5]
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Identification of Accounting Fraud Based on Support Vector Machine and Logistic Regression Model
Complexity,
2021
DOI:10.1155/2021/5597060
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