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Iteratively reweighted multiple linear regression with applications in civil engineering data modeling

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Regression analysis is an important task in civil engineering which depends significantly on knowledge extracted from experimental data. This study develops a computer program and implements the iteratively reweighted least squares (IRLS) used for fitting multiple linear regression models. The capability of the combined model, IRMLR, is demonstrated using two artificial datasets and two real-world applications. The results indicate that the IRMLR model can be a useful tool to assist civil engineers in the task of data modeling. |