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    Prediction of rear-end conflict frequency using multiple-location traffic parameters

    Katrakazas, Christos / Theofilatos, Athanasios / Islam, Md Ashraful et al. | Elsevier | 2021
    Schlagwörter: Count data modelling

    A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

    Krueger, Rico / Bansal, Prateek / Buddhavarapu, Prasad | Elsevier | 2020
    Schlagwörter: Spatial count data modelling , Negative binomial model , Pólya-Gamma data augmentation

    The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

    Lord, Dominique / Mannering, Fred | Elsevier | 2010
    Schlagwörter: Regression models , Count-data models , Crash data

    Estimation of crash type frequency accounting for misclassification in crash data

    Mahmud, Asif / Gayah, Vikash V. / Paleti, Rajesh | Elsevier | 2023
    Schlagwörter: Count model , Reformulated count model , Crash data

    A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods

    Wang, Yiyi / Kockelman, Kara M. | Elsevier | 2013
    Schlagwörter: Count models , Multivariate conditional autoregressive models , Spatial data

    Road accidents and tourism: The case of the Balearic Islands (Spain)

    Rosselló, Jaume / Saenz-de-Miera, Oscar | Elsevier | 2010
    Schlagwörter: Count data models , Daily data

    Real-time prediction of public bike sharing system demand using generalized extreme value count model

    Sohrabi, Soheil / Paleti, Rajesh / Balan, Lacramioara et al. | Elsevier | 2020
    Schlagwörter: General extreme value models , Count data

    Development of crash prediction models with individual vehicular data

    Son, Hojun “Daniel” / Kweon, Young-Jun / Park, Byungkyu “Brian” | Elsevier | 2011
    Schlagwörter: Count data model , Hurdle model

    Influence of urban built environment on traffic accidents: The case of Eskisehir (Turkey)

    Kaygisiz, Ömür / Senbil, Metin / Yildiz, Ahmet | Elsevier | 2017
    Schlagwörter: Accident prediction models , Binary logit models , Count data regression models

    Generalized Extreme Value models for count data: Application to worker telecommuting frequency choices

    Paleti, Rajesh | Elsevier | 2015
    Schlagwörter: Count data , Poisson model , Negative Binomial model , GEV models

    A note on modeling vehicle accident frequencies with random-parameters count models

    Anastasopoulos, Panagiotis Ch. / Mannering, Fred L. | Elsevier | 2008
    Schlagwörter: Count data , Random-parameters Poisson and negative binomial 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

    Markov switching negative binomial models: An application to vehicle accident frequencies

    Malyshkina, Nataliya V. / Mannering, Fred L. / Tarko, Andrew P. | Elsevier | 2008
    Schlagwörter: Count data model

    Bootstrap resampling approach to disaggregate analysis of road crashes in Hong Kong

    Pei, Xin / Sze, N.N. / Wong, S.C. et al. | Elsevier | 2015
    Schlagwörter: Count data model

    Cycling in a changed climate

    Wadud, Zia | Elsevier | 2014
    Schlagwörter: Count data model

    Time series count data models: An empirical application to traffic accidents

    Quddus, Mohammed A. | Elsevier | 2008
    Schlagwörter: Time series count data , Accident prediction models

    Zero-state Markov switching count-data models: An empirical assessment

    Malyshkina, Nataliya V. / Mannering, Fred L. | Elsevier | 2009
    Schlagwörter: Accident frequency count-data models , Zero-inflated models

    Statistical modelling for falls count data

    Ullah, Shahid / Finch, Caroline F. / Day, Lesley | Elsevier | 2009
    Schlagwörter: Fall count data , Model fit , Zero-inflated models , Finite mixture models

    Heterogeneous ensemble learning for enhanced crash forecasts – A frequentist and machine learning based stacking framework

    Ahmad, Numan / Wali, Behram / Khattak, Asad J. | Elsevier | 2022
    Schlagwörter: Count data models

    Sensitivity of crash models to alternative specifications

    Noland, Robert B. / Karlaftis, Matthew G. | Elsevier | 2004
    Schlagwörter: Crash models , Negative binomial models , Count data

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