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Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes

机译：互补参数概率回归和非参数分类树建模方法分析影响工作区与生气碰撞严重程度的因素

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Ali Ghasemzadeh; Mohamed M. Ahmed;
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1. Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes [J] . Ali Ghasemzadeh, Mohamed M. Ahmed Journal of Modern Transportation . 2019,第2期

机译：互补参数概率回归和非参数分类树建模方法，用于分析影响工作区与天气相关的事故严重程度的因素
2. Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes [J] . Ali Ghasemzadeh, Mohamed M. Ahmed 现代交通学报：英文版 . 2019,第002期

机译：互补参数概率回归和非参数分类树建模方法来分析影响工作区与天气相关的事故严重程度的因素
3. Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes [J] . Ali Ghasemzadeh, Mohamed M. Ahmed 现代交通学报（英文版） . 2019,第002期

机译：互补参数概率回归和非参数分类树建模方法来分析影响工作区与天气相关的事故严重程度的因素
4. Modeling Injury Severity in Work Zones using Ordered PROBIT Regression [C] . Zhenyu WANG, Jian J. LU, Qing WANG, ICCTP 2010;International conference of Chinese transportation professionals . 2011

机译：使用有序PROBIT回归建模工作区中的伤害严重程度
5. Analysis of the Severity of Large Truck Crashes Using the Ordered Probit Model [D] . Liu, Pengfei 2017

机译：使用有序Probit模型分析大型卡车碰撞的严重性
6. Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks Classification and Regression Trees and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes [O] . Deborah K. W. Walters, Richard T. Linn, Margaret Kulas, 1999

机译：预测结果的建模技术选择：人工神经网络分类和回归树的比较以及用于预测医疗康复结果的线性回归分析
7. A temporal investigation of crash severity factors in worker-involved work zone crashes: Random parameters and machine learning approaches [O] . Seyedmirsajad Mokhtarimousavi, Jason C. Anderson, Mohammed Hadi, 2021

机译：涉及工人工作区崩溃的碰撞严重因素的时间调查：随机参数和机器学习方法
8. Comparison of Artificial Neural Networks, Logistic Regressions, and Classification Trees for Modeling Mental Workload in Real-Time. [R] . Fong, A., Sibley, C., Cole, A., 2010

机译：用于实时建模心理工作量的人工神经网络，Logistic回归和分类树的比较。

Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes

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