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Volumn 30, Issue 8, 2010, Pages 1268-1276

Extension of the application of conway-maxwell-poisson models: Analyzing traffic crash data exhibiting underdispersion

Author keywords

Conway Maxwell Poisson; gamma models; negative binomial models; regression models; underdispersion

Indexed keywords

CONWAY-MAXWELL-POISSON; GAMMA MODELS; NEGATIVE BINOMIAL; REGRESSION MODEL; UNDERDISPERSION;

EID: 77955889152     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2010.01417.x     Document Type: Article
Times cited : (103)

References (40)
  • 1
    • 17444384194 scopus 로고    scopus 로고
    • Linking roadway geometrics and real-time traffic characteristics to model daytime freeway crashes: Generalized estimating equations for correlated data
    • Abdel-Aty M, Addella MF. Linking roadway geometrics and real-time traffic characteristics to model daytime freeway crashes: Generalized estimating equations for correlated data. Transportation Research Record 1897, 2004 106 115.
    • (2004) Transportation Research Record 1897 , pp. 106-115
    • Abdel-Aty, M.1    Addella, M.F.2
  • 3
    • 0028486329 scopus 로고
    • The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions
    • Miaou S-P. The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions. Accident Analysis & Prevention, 1994 26 (4 471 482.
    • (1994) Accident Analysis & Prevention , vol.26 , Issue.4 , pp. 471-482
    • Miaou, S.-P.1
  • 4
    • 0030138885 scopus 로고    scopus 로고
    • Comprehensive methodology for the fitting of predictive accident models
    • Maher MJ, Summersgill IA. Comprehensive methodology for the fitting of predictive accident models. Accident Analysis & Prevention, 1996 28 (3 281 296.
    • (1996) Accident Analysis & Prevention , vol.28 , Issue.3 , pp. 281-296
    • Maher, M.J.1    Summersgill, I.A.2
  • 5
    • 0002333607 scopus 로고    scopus 로고
    • Negative binomial analysis of intersection accident frequency
    • Poch M, Mannering FL. Negative binomial analysis of intersection accident frequency. Journal of Transportation Engineering, 1996 122 (2 105 113.
    • (1996) Journal of Transportation Engineering , vol.122 , Issue.2 , pp. 105-113
    • Poch, M.1    Mannering, F.L.2
  • 6
    • 1842428184 scopus 로고    scopus 로고
    • Modeling traffic crash-flow relationships for intersections: Dispersion parameter, functional form, and full Bayes versus empirical Bayes
    • Miaou S-P, Lord D. Modeling traffic crash-flow relationships for intersections: Dispersion parameter, functional form, and full Bayes versus empirical Bayes. Transportation Research Record 1840, 2003 31 40.
    • (2003) Transportation Research Record 1840 , pp. 31-40
    • Miaou, S.-P.1    Lord, D.2
  • 7
    • 10444235647 scopus 로고    scopus 로고
    • Modeling crash-flow-density and crash-flow-VC ratio for rural and urban freeway segments
    • Lord D, Manar A, Vizioli A. Modeling crash-flow-density and crash-flow-VC ratio for rural and urban freeway segments. Accident Analysis & Prevention, 2005 37 (1 185 199.
    • (2005) Accident Analysis & Prevention , vol.37 , Issue.1 , pp. 185-199
    • Lord, D.1    Manar, A.2    Vizioli, A.3
  • 8
    • 42149190122 scopus 로고    scopus 로고
    • Development of accident modification factors for rural frontage road segments in Texas
    • Lord D, Bonneson JA. Development of accident modification factors for rural frontage road segments in Texas. Transportation Research Record 2023, 2007 20 27.
    • (2007) Transportation Research Record 2023 , pp. 20-27
    • Lord, D.1    Bonneson, J.A.2
  • 9
    • 60449098299 scopus 로고    scopus 로고
    • Markov switching negative binomial models: An application to vehicle accident frequencies
    • Malyshkina NV, Mannering FL, Tarko AP. Markov switching negative binomial models: An application to vehicle accident frequencies. Accident Analysis & Prevention, 2009 41 (2 217 226.
    • (2009) Accident Analysis & Prevention , vol.41 , Issue.2 , pp. 217-226
    • Malyshkina, N.V.1    Mannering, F.L.2    Tarko, A.P.3
  • 10
    • 77952089434 scopus 로고    scopus 로고
    • The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
    • doi:.
    • Lord D, Mannering F. The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives. Transport Res Part A, 2010, doi:.
    • (2010) Transport Res Part A
    • Lord, D.1    Mannering, F.2
  • 11
    • 0036957692 scopus 로고    scopus 로고
    • Artificial neural networks and logit models for traffic safety analysis of toll plazas
    • Abdelwahab HT, Abdel-Aty M. Artificial neural networks and logit models for traffic safety analysis of toll plazas. Transportation Research Record 1784, 2002 115 125.
    • (2002) Transportation Research Record 1784 , pp. 115-125
    • Abdelwahab, H.T.1    Abdel-Aty, M.2
  • 12
    • 34548502433 scopus 로고    scopus 로고
    • Predicting motor vehicle collisions using Bayesian neural networks: An empirical analysis
    • Xie Y, Lord D, Zhang Y. Predicting motor vehicle collisions using Bayesian neural networks: An empirical analysis. Accident Analysis & Prevention, 2008 39 (5 922 933.
    • (2008) Accident Analysis & Prevention , vol.39 , Issue.5 , pp. 922-933
    • Xie, Y.1    Lord, D.2    Zhang, Y.3
  • 13
    • 46149097412 scopus 로고    scopus 로고
    • Traffic accident segmentation by means of latent class clustering
    • Depaire B, Wets G, Vanhoof K. Traffic accident segmentation by means of latent class clustering. Accident Analysis & Prevention, 2008 40 (4 1257 1266.
    • (2008) Accident Analysis & Prevention , vol.40 , Issue.4 , pp. 1257-1266
    • Depaire, B.1    Wets, G.2    Vanhoof, K.3
  • 14
    • 67349194666 scopus 로고    scopus 로고
    • Application of finite mixture models for vehicle crash data analysis
    • Park BJ, Lord D. Application of finite mixture models for vehicle crash data analysis. Accident Analysis & Prevention, 2009 41 (4 683 691.
    • (2009) Accident Analysis & Prevention , vol.41 , Issue.4 , pp. 683-691
    • Park, B.J.1    Lord, D.2
  • 15
    • 31044449725 scopus 로고    scopus 로고
    • Accident prediction model for railway-highway interfaces
    • Oh J, Washington SP, Nam D. Accident prediction model for railway-highway interfaces. Accident Analysis and Prevention, 2006 38 (2 346 356.
    • (2006) Accident Analysis and Prevention , vol.38 , Issue.2 , pp. 346-356
    • Oh, J.1    Washington, S.P.2    Nam, D.3
  • 16
    • 46149126623 scopus 로고    scopus 로고
    • Predicting motor vehicle crashes using support vector machine models
    • Li X, Lord D, Zhang Y, Xie Y. Predicting motor vehicle crashes using support vector machine models. Accident Analysis & Prevention, 2008 40 (4 1611 1618.
    • (2008) Accident Analysis & Prevention , vol.40 , Issue.4 , pp. 1611-1618
    • Li, X.1    Lord, D.2    Zhang, Y.3    Xie, Y.4
  • 17
    • 0024601101 scopus 로고
    • Estimation of the negative binomial parameter κ by maximum quasi-likelihood
    • Clark SJ, Perry JN. Estimation of the negative binomial parameter κ by maximum quasi-likelihood. Biometrics, 1989 45: 309 316.
    • (1989) Biometrics , vol.45 , pp. 309-316
    • Clark, S.J.1    Perry, J.N.2
  • 18
    • 0025047727 scopus 로고
    • Maximum likelihood estimation for the negative binomial dispersion parameter
    • Piegorsch WW. Maximum likelihood estimation for the negative binomial dispersion parameter. Biometrics, 1990 46: 863 867.
    • (1990) Biometrics , vol.46 , pp. 863-867
    • Piegorsch, W.W.1
  • 19
    • 0344506348 scopus 로고
    • Modified pseudo-likelihood estimator of the overdispersion parameter in poisson mixture models
    • Dean CB. Modified pseudo-likelihood estimator of the overdispersion parameter in poisson mixture models. Journal of Applied Statistics, 1994 21 (6 523 532.
    • (1994) Journal of Applied Statistics , vol.21 , Issue.6 , pp. 523-532
    • Dean, C.B.1
  • 20
    • 33747691081 scopus 로고    scopus 로고
    • Modeling motor vehicle crashes using Poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter
    • Lord D. Modeling motor vehicle crashes using Poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter. Accident Analysis & Prevention, 2006 38 (4 751 766.
    • (2006) Accident Analysis & Prevention , vol.38 , Issue.4 , pp. 751-766
    • Lord, D.1
  • 21
    • 15044361554 scopus 로고    scopus 로고
    • Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter
    • DOI 10.1111/j.0006-341X.2005.030833.x
    • Saha K, Paul S. Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter. Biometrics, 2005 61 (1 179 185. (Pubitemid 40380977)
    • (2005) Biometrics , vol.61 , Issue.1 , pp. 179-185
    • Saha, K.1    Paul, S.2
  • 24
    • 39849095134 scopus 로고    scopus 로고
    • A flexible count data regression model for risk analysis
    • Guikema SD, Coffelt J. A flexible count data regression model for risk analysis. Risk Analysis, 2008 28 (1 213 223.
    • (2008) Risk Analysis , vol.28 , Issue.1 , pp. 213-223
    • Guikema, S.D.1    Coffelt, J.2
  • 27
    • 42749089792 scopus 로고    scopus 로고
    • Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes
    • Lord D, Guikema SD, Geedipally SR. Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes. Accident Analysis & Prevention, 2008 40 (3 1123 1134.
    • (2008) Accident Analysis & Prevention , vol.40 , Issue.3 , pp. 1123-1134
    • Lord, D.1    Guikema, S.D.2    Geedipally, S.R.3
  • 28
    • 77955896676 scopus 로고    scopus 로고
    • A flexible regression model for count data
    • press. Available at:
    • Sellers KF, Shmueli G. A flexible regression model for count data. Annals of Applied Statistics, 2010, in press. Available at: http://imstat.org/aoas/ next-issue.html.
    • (2010) Annals of Applied Statistics
    • Sellers, K.F.1    Shmueli, G.2
  • 29
    • 84993728830 scopus 로고    scopus 로고
    • An empirical model for underdispersed count data
    • Ridout MS, Besbeas P. An empirical model for underdispersed count data. Statistical Modelling, 2004 4: 77 89.
    • (2004) Statistical Modelling , vol.4 , pp. 77-89
    • Ridout, M.S.1    Besbeas, P.2
  • 32
    • 33748557457 scopus 로고    scopus 로고
    • The timing of bid placement and extent of multiple bidding: An empirical investigation using eBay online auctions
    • Borle S, Boatwright P, Kadane JB. The timing of bid placement and extent of multiple bidding: An empirical investigation using eBay online auctions. Statistical Science, 2006 21 (2 194 205.
    • (2006) Statistical Science , vol.21 , Issue.2 , pp. 194-205
    • Borle, S.1    Boatwright, P.2    Kadane, J.B.3
  • 34
    • 0035476879 scopus 로고    scopus 로고
    • Identification of sites for road accident remedial work by Bayesien statistical methods: An example of uncertain inference
    • Heydecker BG, Wu J. Identification of sites for road accident remedial work by Bayesien statistical methods: An example of uncertain inference. Advances in Engineering Software, 2001 32: 859 869.
    • (2001) Advances in Engineering Software , vol.32 , pp. 859-869
    • Heydecker, B.G.1    Wu, J.2
  • 37
    • 10444267254 scopus 로고    scopus 로고
    • Poisson, Poisson-gamma and zero inflated regression models of motor vehicle crashes: Balancing statistical fit and theory
    • Lord D, Washington SP, Ivan JN. Poisson, Poisson-gamma and zero inflated regression models of motor vehicle crashes: Balancing statistical fit and theory. Accident Analysis & Prevention, 2005 37 (1 35 46.
    • (2005) Accident Analysis & Prevention , vol.37 , Issue.1 , pp. 35-46
    • Lord, D.1    Washington, S.P.2    Ivan, J.N.3
  • 38
    • 33750976179 scopus 로고    scopus 로고
    • Further notes on the application of zero inflated models in highway safety
    • Lord D, Washington SP, Ivan JN. Further notes on the application of zero inflated models in highway safety. Accident Analysis & Prevention, 2007 39 (1 53 57.
    • (2007) Accident Analysis & Prevention , vol.39 , Issue.1 , pp. 53-57
    • Lord, D.1    Washington, S.P.2    Ivan, J.N.3
  • 39
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 1974 19 (6 716 772.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , Issue.6 , pp. 716-772
    • Akaike, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.