메뉴 건너뛰기




Volumn 20, Issue , 2018, Pages 68-80

A flexible discrete density random parameters model for count data: Embracing unobserved heterogeneity in highway safety analysis

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; HIGHWAY ENGINEERING; SAFETY FACTOR; TRAFFIC CONTROL;

EID: 85055893863     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2018.10.001     Document Type: Article
Times cited : (18)

References (69)
  • 1
    • 85027835931 scopus 로고    scopus 로고
    • Crash modeling for intersections and segments along corridors: a Bayesian multilevel joint model with random parameters
    • Alarifi, S., Abdel-Aty, M., Lee, J., Park, J., Crash modeling for intersections and segments along corridors: a Bayesian multilevel joint model with random parameters. Analytic Methods in Accident Research 16 (2017), 48–59.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 48-59
    • Alarifi, S.1    Abdel-Aty, M.2    Lee, J.3    Park, J.4
  • 2
    • 84870297996 scopus 로고    scopus 로고
    • Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: comparing the precision of crash frequency estimates
    • Aguero-Valverde, J., Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: comparing the precision of crash frequency estimates. Accident Analysis and Prevention 50 (2013), 289–297.
    • (2013) Accident Analysis and Prevention , vol.50 , pp. 289-297
    • Aguero-Valverde, J.1
  • 3
    • 84975449693 scopus 로고    scopus 로고
    • Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis
    • Anastasopoulos, P., Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis. Analytic Methods in Accident Research 11 (2016), 17–32.
    • (2016) Analytic Methods in Accident Research , vol.11 , pp. 17-32
    • Anastasopoulos, P.1
  • 4
    • 57849139673 scopus 로고    scopus 로고
    • A note on modeling vehicle accident frequencies with random-parameters count models
    • Anastasopoulos, P., Mannering, F., A note on modeling vehicle accident frequencies with random-parameters count models. Accident Analysis and Prevention 41:1 (2009), 153–159.
    • (2009) Accident Analysis and Prevention , vol.41 , Issue.1 , pp. 153-159
    • Anastasopoulos, P.1    Mannering, F.2
  • 5
    • 85019206304 scopus 로고    scopus 로고
    • The effect of passengers on driver-injury severities in single-vehicle crashes: a random parameters heterogeneity-in-means approach
    • Behnood, A., Mannering, F., The effect of passengers on driver-injury severities in single-vehicle crashes: a random parameters heterogeneity-in-means approach. Analytic Methods in Accident Research 14 (2017), 41–53.
    • (2017) Analytic Methods in Accident Research , vol.14 , pp. 41-53
    • Behnood, A.1    Mannering, F.2
  • 6
    • 85027543181 scopus 로고    scopus 로고
    • Determinants of bicyclist injury severities in bicycle-vehicle crashes: a random parameters approach with heterogeneity in means and variances
    • Behnood, A., Mannering, F., Determinants of bicyclist injury severities in bicycle-vehicle crashes: a random parameters approach with heterogeneity in means and variances. Analytic Methods in Accident Research 16 (2017), 35–47.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 35-47
    • Behnood, A.1    Mannering, F.2
  • 7
    • 85020280871 scopus 로고    scopus 로고
    • A new spatial and flexible multivariate random-coefficients model for the analysis of pedestrian injury counts by severity level
    • Bhat, C., Astroza, S., Lavieri, P., A new spatial and flexible multivariate random-coefficients model for the analysis of pedestrian injury counts by severity level. Analytic Methods in Accident Research 16 (2017), 1–22.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 1-22
    • Bhat, C.1    Astroza, S.2    Lavieri, P.3
  • 8
    • 85014933231 scopus 로고    scopus 로고
    • A modified rank ordered logit model to analyze injury severity of occupants in multivehicle crashes
    • Bogue, S., Paleti, R., Balan, L., A modified rank ordered logit model to analyze injury severity of occupants in multivehicle crashes. Analytic Methods in Accident Research 14 (2017), 22–40.
    • (2017) Analytic Methods in Accident Research , vol.14 , pp. 22-40
    • Bogue, S.1    Paleti, R.2    Balan, L.3
  • 9
    • 85047410284 scopus 로고    scopus 로고
    • Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling
    • Cai, Q., Abdel-Aty, M., Lee, J., Wang, L., Wang, X., Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling. Analytic Methods in Accident Research 19 (2018), 1–15.
    • (2018) Analytic Methods in Accident Research , vol.19 , pp. 1-15
    • Cai, Q.1    Abdel-Aty, M.2    Lee, J.3    Wang, L.4    Wang, X.5
  • 10
    • 84964607504 scopus 로고    scopus 로고
    • Robustifying Bayesian nonparametric mixtures for count data
    • Canale, A., Prunster, I., Robustifying Bayesian nonparametric mixtures for count data. Biometrics 73 (2017), 174–184.
    • (2017) Biometrics , vol.73 , pp. 174-184
    • Canale, A.1    Prunster, I.2
  • 11
    • 3543004598 scopus 로고    scopus 로고
    • Semiparameteric regression for count data
    • Carota, C., Parmiggiani, G., Semiparameteric regression for count data. Biometrics 89:2 (2002), 265–281.
    • (2002) Biometrics , vol.89 , Issue.2 , pp. 265-281
    • Carota, C.1    Parmiggiani, G.2
  • 12
    • 85029697533 scopus 로고    scopus 로고
    • Impact of road-surface condition on rural highway safety: a multivariate random parameters negative binomial approach
    • Chen, S., Saeed, T., Labi, S., Impact of road-surface condition on rural highway safety: a multivariate random parameters negative binomial approach. Analytic Methods in Accident Research 16 (2017), 75–89.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 75-89
    • Chen, S.1    Saeed, T.2    Labi, S.3
  • 13
    • 85049894376 scopus 로고    scopus 로고
    • Use of bivariate Dirichlet process mixture spatial model to estimate active transportation-related crash counts
    • Cheng, W., Gill, G., Vo, T., Zhou, J., Sakrani, T., Use of bivariate Dirichlet process mixture spatial model to estimate active transportation-related crash counts. Transportation Research Record, 2018, 10.1177/0361198118782797.
    • (2018) Transportation Research Record
    • Cheng, W.1    Gill, G.2    Vo, T.3    Zhou, J.4    Sakrani, T.5
  • 15
    • 67949107931 scopus 로고    scopus 로고
    • Accident predicyion models with random corridor parameters
    • El-Basyouny, K., Sayed, T., Accident predicyion models with random corridor parameters. Accident Analysis and Prevention 41:5 (2009), 1118–1123.
    • (2009) Accident Analysis and Prevention , vol.41 , Issue.5 , pp. 1118-1123
    • El-Basyouny, K.1    Sayed, T.2
  • 16
    • 0012890141 scopus 로고    scopus 로고
    • Computing nonparametric hierarchical models
    • D. Dey P. Müller D. Sinha Springer New York New York, NY
    • Escobar, M., West, M., Computing nonparametric hierarchical models. Dey, D., Müller, P., Sinha, D., (eds.) Practical nonparametric and semiparametric Bayesian statistics, 1998, Springer New York, New York, NY, 1–22.
    • (1998) Practical nonparametric and semiparametric Bayesian statistics , pp. 1-22
    • Escobar, M.1    West, M.2
  • 17
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson, T., A Bayesian analysis of some nonparametric problems. The Annals of Statistics 1:2 (1973), 209–230.
    • (1973) The Annals of Statistics , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, T.1
  • 18
    • 85018789433 scopus 로고    scopus 로고
    • A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities
    • Fountas, G., Anastasopoulos, P., A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities. Analytic Methods in Accident Research 15 (2017), 1–16.
    • (2017) Analytic Methods in Accident Research , vol.15 , pp. 1-16
    • Fountas, G.1    Anastasopoulos, P.2
  • 19
    • 85047008350 scopus 로고    scopus 로고
    • Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates
    • Fountas, G., Anastasopoulos, P., Abdel-Aty, M., Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates. Analytic Methods in Accident Research 18 (2018), 57–68.
    • (2018) Analytic Methods in Accident Research , vol.18 , pp. 57-68
    • Fountas, G.1    Anastasopoulos, P.2    Abdel-Aty, M.3
  • 20
    • 0000202123 scopus 로고
    • On the asymptotic behavior of Bayes estimates in the discrete case
    • Freedman, D., On the asymptotic behavior of Bayes estimates in the discrete case. Annals of Mathematical Statistics 34:4 (1963), 1386–1403.
    • (1963) Annals of Mathematical Statistics , vol.34 , Issue.4 , pp. 1386-1403
    • Freedman, D.1
  • 21
    • 84886840654 scopus 로고    scopus 로고
    • A caution about using deviance information criterion while modelling traffic crashes
    • Geedipally, S., Lord, D., Dhavala, S., A caution about using deviance information criterion while modelling traffic crashes. Safety Science 62 (2014), 495–498.
    • (2014) Safety Science , vol.62 , pp. 495-498
    • Geedipally, S.1    Lord, D.2    Dhavala, S.3
  • 22
    • 0001803816 scopus 로고    scopus 로고
    • Model determination using sampling-based methods
    • W. Gilks S. Richardson D. Spiegelhalter Chapman and Hall Suffolk
    • Gelfand, A., Model determination using sampling-based methods. Gilks, W., Richardson, S., Spiegelhalter, D., (eds.) Markov Chain Monte Carlo in Practice, 1996, Chapman and Hall, Suffolk.
    • (1996) Markov Chain Monte Carlo in Practice
    • Gelfand, A.1
  • 23
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., Rubin, D., Inference from iterative simulation using multiple sequences. Statistical Science 7:4 (1992), 457–472.
    • (1992) Statistical Science , vol.7 , Issue.4 , pp. 457-472
    • Gelman, A.1    Rubin, D.2
  • 24
  • 25
    • 84897601214 scopus 로고    scopus 로고
    • A Bayesian semiparametric approach for the differential analysis of sequence counts data. Journal of the Royal Statistical Society
    • Guindani, M., Sepulveda, N., Paulino, C., Muller, P., A Bayesian semiparametric approach for the differential analysis of sequence counts data. Journal of the Royal Statistical Society. Series C (Applied Statistics) 63 (2014), 385–404.
    • (2014) Series C (Applied Statistics) , vol.63 , pp. 385-404
    • Guindani, M.1    Sepulveda, N.2    Paulino, C.3    Muller, P.4
  • 26
    • 84991585664 scopus 로고    scopus 로고
    • Bayesian nonparametric modeling in transportation safety studies: applications in univariate and multivariate settings
    • Heydari, S., Fu, L., Joseph, L., Miranda-Moreno, L., Bayesian nonparametric modeling in transportation safety studies: applications in univariate and multivariate settings. Analytic Methods in Accident Research 12 (2016), 18–34.
    • (2016) Analytic Methods in Accident Research , vol.12 , pp. 18-34
    • Heydari, S.1    Fu, L.2    Joseph, L.3    Miranda-Moreno, L.4
  • 27
    • 84959323373 scopus 로고    scopus 로고
    • Multilevel Dirichlet process mixture analysis of railway grade crossing crash data
    • Heydari, S., Fu, L., Lord, D., Mallick, B., Multilevel Dirichlet process mixture analysis of railway grade crossing crash data. Analytic Methods in Accident Research 9 (2016), 27–43.
    • (2016) Analytic Methods in Accident Research , vol.9 , pp. 27-43
    • Heydari, S.1    Fu, L.2    Lord, D.3    Mallick, B.4
  • 28
    • 85006967172 scopus 로고    scopus 로고
    • Using a flexible multivariate latent class approach to model correlated outcomes: a joint analysis of pedestrian and cyclist injuries
    • Heydari, S., Fu, L., Miranda-Moreno, L., Joseph, L., Using a flexible multivariate latent class approach to model correlated outcomes: a joint analysis of pedestrian and cyclist injuries. Analytic Methods in Accident Research 13 (2017), 16–27.
    • (2017) Analytic Methods in Accident Research , vol.13 , pp. 16-27
    • Heydari, S.1    Fu, L.2    Miranda-Moreno, L.3    Joseph, L.4
  • 29
    • 85048888129 scopus 로고    scopus 로고
    • Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: applications to grade crossing safety analysis
    • Heydari, S., Fu, L., Thakali, L., Joseph, L., Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: applications to grade crossing safety analysis. Analytic Methods in Accident Research 19 (2018), 33–48.
    • (2018) Analytic Methods in Accident Research , vol.19 , pp. 33-48
    • Heydari, S.1    Fu, L.2    Thakali, L.3    Joseph, L.4
  • 30
    • 84924603283 scopus 로고    scopus 로고
    • Bayesian nonparametrics: principles and practice
    • Cambridge University Press
    • Hjort, N., Holmes, C., Müller, P., Walker, S., Bayesian nonparametrics: principles and practice. 2010, Cambridge University Press.
    • (2010)
    • Hjort, N.1    Holmes, C.2    Müller, P.3    Walker, S.4
  • 34
    • 85046171454 scopus 로고    scopus 로고
    • Bayesian Poisson hierarchical models for crash data analysis: investigating the impact of model choice on site-specific predictions
    • Khazraee, H., Johnson, V., Lord, D., Bayesian Poisson hierarchical models for crash data analysis: investigating the impact of model choice on site-specific predictions. Accident Analysis and Prevention 117 (2018), 181–195.
    • (2018) Accident Analysis and Prevention , vol.117 , pp. 181-195
    • Khazraee, H.1    Johnson, V.2    Lord, D.3
  • 35
    • 33750288910 scopus 로고    scopus 로고
    • Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models
    • Kim, D., Lee, Y., Washington, S., Choi, K., Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models. Accident Analysis and Prevention 39:1 (2007), 125–134.
    • (2007) Accident Analysis and Prevention , vol.39 , Issue.1 , pp. 125-134
    • Kim, D.1    Lee, Y.2    Washington, S.3    Choi, K.4
  • 36
    • 80051884132 scopus 로고    scopus 로고
    • Modeling continuous diagnostic test data using approximate Dirichlet process distributions
    • Ladouceur, M., Rahme, E., Belisle, P., Scott, A., Schwartzman, K., Joseph, L., Modeling continuous diagnostic test data using approximate Dirichlet process distributions. Statistics in Medicine 30 (2011), 2648–2662.
    • (2011) Statistics in Medicine , vol.30 , pp. 2648-2662
    • Ladouceur, M.1    Rahme, E.2    Belisle, P.3    Scott, A.4    Schwartzman, K.5    Joseph, L.6
  • 37
    • 85052959078 scopus 로고    scopus 로고
    • Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model
    • Li, Z., Chen, C., Wu, Q., Zhang, G., Liu, C., Prevedouros, P., Ma, D., Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model. Analytic Methods in Accident Research 20 (2018), 1–14.
    • (2018) Analytic Methods in Accident Research , vol.20 , pp. 1-14
    • Li, Z.1    Chen, C.2    Wu, Q.3    Zhang, G.4    Liu, C.5    Prevedouros, P.6    Ma, D.7
  • 38
    • 77952089434 scopus 로고    scopus 로고
    • The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives
    • Lord, D., Mannering, F., The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transportation Research Part A 44:5 (2010), 291–305.
    • (2010) Transportation Research Part A , vol.44 , Issue.5 , pp. 291-305
    • Lord, D.1    Mannering, F.2
  • 39
    • 43949096566 scopus 로고    scopus 로고
    • Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: a Bayesian perspective
    • Lord, D., Miranda-Moreno, L., Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: a Bayesian perspective. Safety Science 46 (2008), 751–770.
    • (2008) Safety Science , vol.46 , pp. 751-770
    • Lord, D.1    Miranda-Moreno, L.2
  • 40
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility
    • Lunn, D., Thomas, A., Best, N., Spiegelhalter, D., WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10:4 (2000), 325–337.
    • (2000) Statistics and Computing , vol.10 , Issue.4 , pp. 325-337
    • Lunn, D.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 41
    • 85032566625 scopus 로고    scopus 로고
    • Temporal instability and the analysis of highway accident data
    • Mannering, F., Temporal instability and the analysis of highway accident data. Analytic Methods in Accident Research 17 (2018), 1–13.
    • (2018) Analytic Methods in Accident Research , vol.17 , pp. 1-13
    • Mannering, F.1
  • 42
    • 84893489445 scopus 로고    scopus 로고
    • Analytic methods in accident research: methodological frontier and future directions
    • Mannering, F., Bhat, C., Analytic methods in accident research: methodological frontier and future directions. Analytic Methods in Accident Research 1 (2014), 1–22.
    • (2014) Analytic Methods in Accident Research , vol.1 , pp. 1-22
    • Mannering, F.1    Bhat, C.2
  • 43
    • 84964907242 scopus 로고    scopus 로고
    • Unobserved heterogeneity and the statistical analysis of highway accident data
    • Mannering, F., Shankar, V., Bhat, C., Unobserved heterogeneity and the statistical analysis of highway accident data. Analytic Methods in Accident Research 11 (2016), 1–16.
    • (2016) Analytic Methods in Accident Research , vol.11 , pp. 1-16
    • Mannering, F.1    Shankar, V.2    Bhat, C.3
  • 44
    • 84867083361 scopus 로고    scopus 로고
    • On the significance of omitted variables in intersection crash modeling
    • Mitra, S., Washington, S., On the significance of omitted variables in intersection crash modeling. Accident Analysis and Prevention 49 (2012), 439–448.
    • (2012) Accident Analysis and Prevention , vol.49 , pp. 439-448
    • Mitra, S.1    Washington, S.2
  • 46
    • 4043092820 scopus 로고    scopus 로고
    • Nonparametric Bayesian data analysis
    • Müller, P., Quintana, F., Nonparametric Bayesian data analysis. Statistical Science 19:1 (2004), 95–110.
    • (2004) Statistical Science , vol.19 , Issue.1 , pp. 95-110
    • Müller, P.1    Quintana, F.2
  • 47
    • 84961942647 scopus 로고    scopus 로고
    • Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia
    • Naznin, F., Currie, G., Logan, D., Sarvi, M., Application of a random effects negative binomial model to examine tram-involved crash frequency on route sections in Melbourne, Australia. Accident Analysis and Prevention 92 (2016), 15–21.
    • (2016) Accident Analysis and Prevention , vol.92 , pp. 15-21
    • Naznin, F.1    Currie, G.2    Logan, D.3    Sarvi, M.4
  • 48
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for Dirichlet process mixture models
    • Neal, R., Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics 9:2 (2000), 249–265.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , Issue.2 , pp. 249-265
    • Neal, R.1
  • 49
    • 84889367764 scopus 로고    scopus 로고
    • Bayesian Modeling Using WinBUGS
    • Wiley Series in Computational Statistics Hoboken, USA
    • Ntzoufras, I., Bayesian Modeling Using WinBUGS. 2009, Wiley Series in Computational Statistics, Hoboken, USA.
    • (2009)
    • Ntzoufras, I.1
  • 50
    • 34047215010 scopus 로고    scopus 로고
    • Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons
    • Ohlssen, D., Sharples, L., Spiegelhalter, D., Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons. Statistics in Medicine 26:9 (2007), 2088–2112.
    • (2007) Statistics in Medicine , vol.26 , Issue.9 , pp. 2088-2112
    • Ohlssen, D.1    Sharples, L.2    Spiegelhalter, D.3
  • 51
    • 67349194666 scopus 로고    scopus 로고
    • Application of finite mixture models for vehicle crash data analysis
    • Park, B., Lord, D., Application of finite mixture models for vehicle crash data analysis. Accident Analysis and Prevention 41:4 (2009), 683–691.
    • (2009) Accident Analysis and Prevention , vol.41 , Issue.4 , pp. 683-691
    • Park, B.1    Lord, D.2
  • 52
    • 84994376802 scopus 로고    scopus 로고
    • Finite mixture modeling approach for developing crash modification factors in highway safety analysis
    • Park, B., Lord, D., Wu, L., Finite mixture modeling approach for developing crash modification factors in highway safety analysis. Accident Analysis and Prevention 97 (2016), 274–287.
    • (2016) Accident Analysis and Prevention , vol.97 , pp. 274-287
    • Park, B.1    Lord, D.2    Wu, L.3
  • 53
    • 85021137512 scopus 로고    scopus 로고
    • Occupant injury severities in hybrid-vehicle involved crashes: a random parameters approach with heterogeneity in means and variances
    • Seraneeprakarn, P., Huang, S., Shankar, V., Mannering, F., Venkataraman, N., Milton, J., Occupant injury severities in hybrid-vehicle involved crashes: a random parameters approach with heterogeneity in means and variances. Analytic Methods in Accident Research 15 (2017), 41–55.
    • (2017) Analytic Methods in Accident Research , vol.15 , pp. 41-55
    • Seraneeprakarn, P.1    Huang, S.2    Shankar, V.3    Mannering, F.4    Venkataraman, N.5    Milton, J.6
  • 54
    • 85009971771 scopus 로고    scopus 로고
    • Grouped random parameters bivariate probit analysis of perceived and observed aggressive driving behavior: a driving simulation study
    • Sarwar, M., Anastasopoulos, P., Golshani, N., Hulme, K., Grouped random parameters bivariate probit analysis of perceived and observed aggressive driving behavior: a driving simulation study. Analytic Methods in Accident Research 13 (2017), 52–64.
    • (2017) Analytic Methods in Accident Research , vol.13 , pp. 52-64
    • Sarwar, M.1    Anastasopoulos, P.2    Golshani, N.3    Hulme, K.4
  • 55
    • 85020744027 scopus 로고    scopus 로고
    • Simultaneous estimation of discrete outcome and continuous dependent variable equations: a bivariate random effects modeling approach with unrestricted instruments
    • Sarwar, M., Fountas, G., Anastasopoulos, P., Simultaneous estimation of discrete outcome and continuous dependent variable equations: a bivariate random effects modeling approach with unrestricted instruments. Analytic Methods in Accident Research 16 (2017), 23–34.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 23-34
    • Sarwar, M.1    Fountas, G.2    Anastasopoulos, P.3
  • 56
    • 0032157430 scopus 로고    scopus 로고
    • Evaluating median crossover likelihoods with clustered accident counts an empirical inquiry using the random effects negative binomial model
    • Shankar, V., Albin, R., Milton, J., Mannering, F., Evaluating median crossover likelihoods with clustered accident counts an empirical inquiry using the random effects negative binomial model. Transportation Research Recor: Journal of the Transportation Research Board 1635 (1998), 44–48.
    • (1998) Transportation Research Recor: Journal of the Transportation Research Board , vol.1635 , pp. 44-48
    • Shankar, V.1    Albin, R.2    Milton, J.3    Mannering, F.4
  • 57
    • 85045719766 scopus 로고    scopus 로고
    • Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data
    • Shaon, M., Qin, X., Shirazi, M., Lord, D., Geedipally, S., Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data. Analytic Methods in Accident Research 18 (2018), 33–44.
    • (2018) Analytic Methods in Accident Research , vol.18 , pp. 33-44
    • Shaon, M.1    Qin, X.2    Shirazi, M.3    Lord, D.4    Geedipally, S.5
  • 58
    • 84959462804 scopus 로고    scopus 로고
    • A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: characteristics and applications to crash data
    • Shirazi, M., Lord, D., Dhaval, S., Geedipally, S., A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: characteristics and applications to crash data. Accident Analysis and Prevention 91 (2016), 10–18.
    • (2016) Accident Analysis and Prevention , vol.91 , pp. 10-18
    • Shirazi, M.1    Lord, D.2    Dhaval, S.3    Geedipally, S.4
  • 59
    • 84896759922 scopus 로고    scopus 로고
    • A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies
    • Venkataraman, N., Ulfarsson, G., Shankar, V., Deptuch, D., A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies. Analytic Methods in Accident Research 2 (2014), 12–20.
    • (2014) Analytic Methods in Accident Research , vol.2 , pp. 12-20
    • Venkataraman, N.1    Ulfarsson, G.2    Shankar, V.3    Deptuch, D.4
  • 61
    • 85069304767 scopus 로고    scopus 로고
    • Statistical and Econometric Methods for Transportation Data Analysis
    • second edition Chapman and Hall/CRC. Boca Raton Florida
    • Washington, S., Karlaftis, M., Mannering, F., Statistical and Econometric Methods for Transportation Data Analysis. second edition, 2011, Chapman and Hall/CRC. Boca Raton, Florida.
    • (2011)
    • Washington, S.1    Karlaftis, M.2    Mannering, F.3
  • 62
    • 84895348697 scopus 로고    scopus 로고
    • Econometric Analysis of Count Data
    • 5th edition Springer-Verlag Berline Heidelberg
    • Winkelmann, R., Econometric Analysis of Count Data. 5th edition, 2008, Springer-Verlag, Berline Heidelberg.
    • (2008)
    • Winkelmann, R.1
  • 63
    • 84879294218 scopus 로고    scopus 로고
    • Safety impacts of signal-warning flashers and speed control at high-speed signalized intersections
    • Wu, Z., Sharma, A., Mannering, F., Wang, S., Safety impacts of signal-warning flashers and speed control at high-speed signalized intersections. Accident Analysis and Prevention 54 (2013), 90–98.
    • (2013) Accident Analysis and Prevention , vol.54 , pp. 90-98
    • Wu, Z.1    Sharma, A.2    Mannering, F.3    Wang, S.4
  • 65
    • 85032883509 scopus 로고    scopus 로고
    • The effects of neighborhood characteristics and the built environment on pedestrian injury severity: a random parameters generalized ordered probability model with heterogeneity in means and variances
    • Xin, C., Guo, R., Wang, Z., Lu, Q., Lin, P., The effects of neighborhood characteristics and the built environment on pedestrian injury severity: a random parameters generalized ordered probability model with heterogeneity in means and variances. Analytic Methods in Accident Research 16 (2017), 117–132.
    • (2017) Analytic Methods in Accident Research , vol.16 , pp. 117-132
    • Xin, C.1    Guo, R.2    Wang, Z.3    Lu, Q.4    Lin, P.5
  • 66
    • 84875141815 scopus 로고    scopus 로고
    • The heterogeneous effects of guardian supervision on adolescent driver-injury severities: a finite-mixture random-parameters approach
    • Xiong, Y., Mannering, F., The heterogeneous effects of guardian supervision on adolescent driver-injury severities: a finite-mixture random-parameters approach. Transportation Research Part B 49 (2013), 39–54.
    • (2013) Transportation Research Part B , vol.49 , pp. 39-54
    • Xiong, Y.1    Mannering, F.2
  • 67
    • 84978538367 scopus 로고    scopus 로고
    • Latent segmentation based count models: analysis of bicycle safety in Montreal and Toronto
    • Yasmin, S., Eluru, N., Latent segmentation based count models: analysis of bicycle safety in Montreal and Toronto. Accident Analysis and Prevention 95 (2016), 157–171.
    • (2016) Accident Analysis and Prevention , vol.95 , pp. 157-171
    • Yasmin, S.1    Eluru, N.2
  • 68
    • 84956646625 scopus 로고    scopus 로고
    • Crash risk analysis for Shanghai urban expressways: a Bayesian semi-parametric modeling approach
    • Yu, R., Wang, X., Yang, K., Abdel-Aty, M., Crash risk analysis for Shanghai urban expressways: a Bayesian semi-parametric modeling approach. Accident Analysis and Prevention 95 (2016), 495–502.
    • (2016) Accident Analysis and Prevention , vol.95 , pp. 495-502
    • Yu, R.1    Wang, X.2    Yang, K.3    Abdel-Aty, M.4
  • 69
    • 85032035436 scopus 로고    scopus 로고
    • Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety
    • Zou, Y., Ash, J., Park, B., Lord, D., Wu, L., Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety. Journal of Applied Statistics, 2017, 10.1080/02664763.2017.1389863.
    • (2017) Journal of Applied Statistics
    • Zou, Y.1    Ash, J.2    Park, B.3    Lord, D.4    Wu, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.