2021
DOI: 10.1007/s13177-021-00275-0
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Frequency Modelling and Risk Evaluation of Road Crashes in Sylhet Region of Bangladesh

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“…Most traditional statistical models are parametric and are based on certain distribution assumptions. These models may have relatively robust predictive performance and good interpretability of the internal influence mechanism, but these models may be sensitive to data size, have poor real-time processing capability for big data, and cannot capture the complex nonlinear relationship between features and dependent variables [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Most traditional statistical models are parametric and are based on certain distribution assumptions. These models may have relatively robust predictive performance and good interpretability of the internal influence mechanism, but these models may be sensitive to data size, have poor real-time processing capability for big data, and cannot capture the complex nonlinear relationship between features and dependent variables [21][22][23].…”
Section: Introductionmentioning
confidence: 99%