Synonyme wurden verwendet für: binomial models
Suche ohne Synonyme: keywords:(Negative binomial models)

1–20 von 126 Ergebnissen
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    Predicting expressway crash frequency using a random effect negative binomial model: A case study in China

    Ma, Zhuanglin / Zhang, Honglu / Chien, Steven I-Jy et al. | Elsevier | 2016
    Schlagwörter: Negative binomial model , Random effects negative binomial model

    A preliminary investigation of the relationships between historical crash and naturalistic driving

    Pande, Anurag / Chand, Sai / Saxena, Neeraj et al. | Elsevier | 2017
    Schlagwörter: Negative binomial model , Random parameter negative binomial model

    A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB)

    Shirazi, Mohammadali / Dhavala, Soma Sekhar / Lord, Dominique et al. | Elsevier | 2017
    Schlagwörter: Model Selection , Negative Binomial , Negative Binomial Lindley

    Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models

    Cai, Qing / Lee, Jaeyoung / Eluru, Naveen et al. | Elsevier | 2016
    Schlagwörter: Dual-state models , Zero-inflated negative binomial , Hurdle negative binomial models

    Improving the transferability of the crash prediction model using the TrAdaBoost.R2 algorithm

    Tang, Dongjie / Yang, Xiaohan / Wang, Xuesong | Elsevier | 2020
    Schlagwörter: Crash prediction model , Negative binomial model

    A crash risk identification method for freeway segments with horizontal curvature based on real-time vehicle kinetic response

    Zhang, Changjian / He, Jie / King, Mark et al. | Elsevier | 2020
    Schlagwörter: Negative binomial regression model , Random effects negative binomial regression model

    A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data

    Shirazi, Mohammadali / Lord, Dominique / Dhavala, Soma Sekhar et al. | Elsevier | 2016
    Schlagwörter: Negative binomial , Generalized linear model

    A note on modeling road accident frequency: A flexible elasticity model

    Couto, António / Ferreira, Sara | Elsevier | 2011
    Schlagwörter: Negative binomial , Road accident models , Regression models

    Investigating factors affecting rural crash frequency at marginal areas around cities in Iran: a random parameter modeling approach

    Shamanian Esfahani, Hamid / Afandizadeh, Shahriar / Naderan, Ali | Taylor & Francis Verlag | 2024
    Schlagwörter: random effects negative binomial model , random parameters negative binomial model

    M5 model tree based predictive modeling of road accidents on non-urban sections of highways in India

    Singh, Gyanendra / Sachdeva, S.N. / Pal, Mahesh | Elsevier | 2016
    Schlagwörter: M5 model tree , Random effect negative binomial model

    Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia

    Naznin, Farhana / Currie, Graham / Logan, David et al. | Elsevier | 2016
    Schlagwörter: Random effects negative binomial model

    Has the great recession and its aftermath reduced traffic fatalities?

    Noland, Robert B. / Zhou, Yuhan | Elsevier | 2016
    Schlagwörter: Negative-binomial model

    Latent segmentation based count models: Analysis of bicycle safety in Montreal and Toronto

    Yasmin, Shamsunnahar / Eluru, Naveen | Elsevier | 2016
    Schlagwörter: Latent segmentation poisson model , Latent segmentation negative binomial model

    Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data

    Ding, Hongliang / Sze, N.N. / Li, Haojie et al. | Elsevier | 2020
    Schlagwörter: Random parameter negative binomial model

    Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data

    Quddus, Mohammed A. | Elsevier | 2008
    Schlagwörter: Negative binomial models , Classical spatial models , Bayesian hierarchical models

    Confidence and prediction intervals for generalised linear accident models

    Wood, G.R. | Elsevier | 2004
    Schlagwörter: Generalised linear model , Negative binomial

    Further notes on the application of zero-inflated models in highway safety

    Lord, Dominique / Washington, Simon / Ivan, John N. | Elsevier | 2006
    Schlagwörter: Zero-inflated models , Statistical models , Negative binomial

    Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes

    Lord, Dominique / Guikema, Seth D. / Geedipally, Srinivas Reddy | Elsevier | 2007
    Schlagwörter: Statistical models , Negative binomial , Regression models , Bayesian models

    Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analysis

    Mousavi, Seyedeh Maryam / Zhang, Zhao / Parr, Scott A. et al. | ASCE | 2019
    Schlagwörter: Negative Binomial Model

    Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis

    Zou, Yajie / Zhang, Yunlong / Lord, Dominique | Elsevier | 2012
    Schlagwörter: Negative binomial , Finite mixture model