Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators.
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| Title: | Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators. |
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| Authors: | Rauf, Rauf I.1 (AUTHOR) rauf.ibrahim@uniabuja.edu.ng, Alrasheedi, Masad A.2 (AUTHOR) mrshedi@taibahu.edu.sa, Sadiq, Rasheedah3 (AUTHOR) rosadiq@nigerianstat.gov.ng, Aldawsari, Abdulrahman M. A.4 (AUTHOR) abd.aldawsari@psau.edu.sa |
| Source: | Mathematics (2227-7390). Dec2024, Vol. 12 Issue 24, p3966. 23p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 22277390 |
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| DOI: | 10.3390/math12243966 |
