Synonyme wurden verwendet für: MODELL
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1–20 von 44 Ergebnissen
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    A joint econometric framework for modeling crash counts by severity

    Yasmin, Shamsunnahar / Eluru, Naveen | Taylor & Francis Verlag | 2018
    Schlagwörter: Count model , negative binomial model , ordered fractional split model , joint model , crash prediction model

    A New Econometric Approach for Modeling Several Count Variables: A Case Study of Crash Frequency Analysis by Crash Type and Severity

    Bhowmik, Tanmoy / Yasmin, Shamsunnahar / Eluru, Naveen | Elsevier | 2021
    Schlagwörter: Panel model , Fractional split model , Multivariate model

    Modeling vehicle operating speed on urban roads in Montreal: A panel mixed ordered probit fractional split model

    Eluru, Naveen / Chakour, Vincent / Chamberlain, Morgan et al. | Elsevier | 2013
    Schlagwörter: Fractional split models , Mixed ordered response fractional split models

    A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data

    Keya, Nowreen / Anowar, Sabreena / Bhowmik, Tanmoy et al. | Elsevier | 2020
    Schlagwörter: Sequence model , Latent class 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

    Evaluating alternate discrete outcome frameworks for modeling crash injury severity

    Yasmin, Shamsunnahar / Eluru, Naveen | Elsevier | 2013
    Schlagwörter: Comparison of discrete outcome models

    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 , Hurdle negative binomial models

    Regret minimization based joint econometric model of mode choice and departure time: a case study of university students in Toronto, Canada

    Anowar, Sabreena / Faghih-Imani, Ahmadreza / Miller, Eric J. et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: latent class model , sequence model

    Accommodating spatio-temporal dependency in airline demand modeling

    Tirtha, Sudipta Dey / Bhowmik, Tanmoy / Eluru, Naveen | Elsevier | 2024
    Schlagwörter: Spatial lag model , Spatial error model

    Univariate or multivariate analysis for better prediction accuracy? A case study of heterogeneity in vehicle ownership

    Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2018
    Schlagwörter: copula models , latent class models

    The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use

    Bhat, Chandra R. / Sen, Sudeshna / Eluru, Naveen | Elsevier | 2008
    Schlagwörter: MDCEV model , Vehicle make/model choice

    A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences

    Faghih-Imani, Ahmadreza / Eluru, Naveen | Online Contents | 2018
    Schlagwörter: Finite mixture model , Multinomial logit model

      A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences

      Faghih-Imani, Ahmadreza / Eluru, Naveen | Online Contents | 2018
      Schlagwörter: Finite mixture model , Multinomial logit model

    An econometric multi-dimensional choice model of activity-travel behavior

    Eluru, Naveen / Pinjari, Abdul / Pendyala, Ram et al. | Taylor & Francis Verlag | 2010
    Schlagwörter: joint model , simultaneous equations model , integrated model , MDCEV-MNL model

    An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville

    Faghih-Imani, Ahmadreza / Hampshire, Robert / Marla, Lavanya et al. | Elsevier | 2016
    Schlagwörter: Linear mixed model

    A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system

    Kumar Dey, Bibhas / Anowar, Sabreena / Eluru, Naveen | Elsevier | 2020
    Schlagwörter: Linear mixed model , Multiple Discrete Continuous Extreme Value (MDCEV) model

    Evaluating the impact of a newly added commuter rail system on bus ridership: a grouped ordered logit model approach

    Rahman, Moshiur / Yasmin, Shamsunnahar / Eluru, Naveen | Taylor & Francis Verlag | 2019
    Schlagwörter: grouped ordered response model

    Transformation of ridehailing in New York City: A quantitative assessment

    Dey, Bibhas Kumar / Tirtha, Sudipta Dey / Eluru, Naveen et al. | Elsevier | 2021
    Schlagwörter: NB-MNL Fractional split model

    Exploring the relationship between vehicle type choice and distance traveled: a latent segmentation approach

    Angueira, Jaime / Konduri, Karthik Charan / Chakour, Vincent et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: Latent segmentation models

    An airport level framework for examining the impact of COVID-19 on airline demand

    Dey Tirtha, Sudipta / Bhowmik, Tanmoy / Eluru, Naveen | Elsevier | 2022
    Schlagwörter: Linear Mixed Model