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Suche ohne Synonyme: keywords:(Ordered probit model)

1–20 von 28 Ergebnissen
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    Truck crash severity in New York city: An investigation of the spatial and the time of day effects

    Zou, Wei / Wang, Xiaokun / Zhang, Dapeng | Elsevier | 2016
    Schlagwörter: Random parameter ordered probit model , Spatial generalized ordered probit model

    Underreporting in traffic accident data, bias in parameters and the structure of injury severity models

    Yamamoto, Toshiyuki / Hashiji, Junpei / Shankar, Venkataraman N. | Elsevier | 2007
    Schlagwörter: Ordered-response probit model , Sequential probit model

    The effect of crash characteristics on cyclist injuries: An analysis of Virginia automobile-bicycle crash data

    Robartes, Erin / Chen, T. Donna | Elsevier | 2017
    Schlagwörter: Ordered probit model

    Modelling two-vehicle crash severity by generalized estimating equations

    Chiou, Yu-Chiun / Fu, Chiang / Ke, Chia-Yen | Elsevier | 2020
    Schlagwörter: Ordered , Probit model

    Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle

    Pyrialakou, V.Dimitra / Gkartzonikas, Christos / Gatlin, J.Drew et al. | Elsevier | 2019
    Schlagwörter: Ordered probit models

    Using support vector machine models for crash injury severity analysis

    Li, Zhibin / Liu, Pan / Wang, Wei et al. | Elsevier | 2011
    Schlagwörter: Support vector machine model , Ordered probit model

    The determinants of fishing vessel accident severity

    Jin, Di | Elsevier | 2014
    Schlagwörter: Ordered probit model

    A comprehensive analysis of factors influencing the injury severity of large-truck crashes

    Zhu, Xiaoyu / Srinivasan, Sivaramakrishnan | Elsevier | 2010
    Schlagwörter: Ordered-probit model

    Modeling occupant-level injury severity: An application to large-truck crashes

    Zhu, Xiaoyu / Srinivasan, Sivaramakrishnan | Elsevier | 2011
    Schlagwörter: Mixed ordered-probit models

    Injury severity analysis of familiar drivers and unfamiliar drivers in single-vehicle crashes on the mountainous highways

    Wen, Huiying / Xue, Gang | Elsevier | 2020
    Schlagwörter: REGOP model , Ordered probit model

    Using fixed-parameter and random-parameter ordered regression models to identify significant factors that affect the severity of drivers’ injuries in vehicle-train collisions

    Dabbour, Essam / Easa, Said / Haider, Murtaza | Elsevier | 2017
    Schlagwörter: Random-parameter ordered probit models , Mixed ordered models

    Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: Case studies from Malaysian Federal Roads

    Hosseinpour, Mehdi / Yahaya, Ahmad Shukri / Sadullah, Ahmad Farhan | Elsevier | 2013
    Schlagwörter: Count-data models , Ordered probit model

    Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area

    Chung, Younshik / Song, Tai-Jin / Yoon, Byoung-Jo | Elsevier | 2013
    Schlagwörter: Ordered probit model

    The effect of age and gender on motor vehicle driver injury severity at highway-rail grade crossings in the United States

    Hao, Wei / Kamga, Camille / Daniel, Janice | Elsevier | 2015
    Schlagwörter: Ordered probit model

    Safety evaluation of signalized intersections with left-turn waiting area in China

    Jiang, Xinguo / Zhang, Guopeng / Bai, Wei et al. | Elsevier | 2015
    Schlagwörter: Ordered probit model

    Injury severity analysis of accidents involving young male drivers in Great Britain

    Gray, Rebecca C. / Quddus, Mohammed A. / Evans, Andrew | Elsevier | 2008
    Schlagwörter: Ordered probit models

    An empirical analysis of run-off-road injury severity crashes involving large trucks

    Al-Bdairi, Nabeel Saleem Saad / Hernandez, Salvador | Elsevier | 2017
    Schlagwörter: Ordered random parameter probit model

    Heterogeneity in crash data: A cross comparison between ordered probability model and its variant using crashes at suburban type arterial

    Khanal, Bedan / Zahertar, Anahita / Lavrenz, Steven | Elsevier | 2024
    Schlagwörter: Heterogeneity models , Ordered probit model