메뉴 건너뛰기




Volumn , Issue 1950, 2006, Pages 35-43

Effects of sample size on goodness-of-fit statistic and confidence intervals of crash prediction models subjected to low sample mean values

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; ERROR ANALYSIS; GROUND VEHICLES; MATHEMATICAL MODELS; PROBLEM SOLVING; STATISTICAL METHODS;

EID: 33749648762     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1950-05     Document Type: Conference Paper
Times cited : (6)

References (23)
  • 1
    • 0029251408 scopus 로고
    • Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts
    • Fridstrøm, L., J. Ifver, S. Ingebrigtsen, R. Kulmala, and L. K. Thomsen, Measuring the Contribution of Randomness, Exposure, Weather, and Daylight to the Variation in Road Accident Counts. Accident Analysis and Prevention, Vol. 27, No. 1, 1995, pp. 1-20.
    • (1995) Accident Analysis and Prevention , vol.27 , Issue.1 , pp. 1-20
    • Fridstrøm, L.1    Ifver, J.2    Ingebrigtsen, S.3    Kulmala, R.4    Thomsen, L.K.5
  • 2
    • 10444267254 scopus 로고    scopus 로고
    • Poisson, poisson-gamma and zero inflated regression models of motor vehicle crashes: Balancing statistical fit and theory
    • Lord, D., S. P. Washington, and J. N, Ivan. Poisson, Poisson-Gamma and Zero Inflated Regression Models of Motor Vehicle Crashes: Balancing Statistical Fit and Theory. Accident Analysis and Prevention, Vol. 37, No. 1, 2005, pp. 35-46.
    • (2005) Accident Analysis and Prevention , vol.37 , Issue.1 , pp. 35-46
    • Lord, D.1    Washington, S.P.2    Ivan, J.N.3
  • 3
    • 0012175880 scopus 로고
    • TRRL Laboratory Report 1120. Transport and Road Research Laboratory. Crowthorne, Berkshire, United Kingdom
    • Maycock, G., and R. D. Hall. Accidents at 4-Arm Roundabouts. TRRL Laboratory Report 1120. Transport and Road Research Laboratory. Crowthorne, Berkshire, United Kingdom, 1984.
    • (1984) Accidents at 4-arm Roundabouts
    • Maycock, G.1    Hall, R.D.2
  • 4
    • 0030138885 scopus 로고    scopus 로고
    • A comprehensive methodology for the fitting of predictive accident models
    • Maher, M. J., and I. Summersgill. A Comprehensive Methodology for the Fitting of Predictive Accident Models. Accident A nalysis and Prevention, Vol. 28, No. 3, 1996, pp. 281-296.
    • (1996) Accident A Nalysis and Prevention , vol.28 , Issue.3 , pp. 281-296
    • Maher, M.J.1    Summersgill, I.2
  • 6
    • 0036628648 scopus 로고    scopus 로고
    • Generalized linear accident models and goodness of fit testing
    • Wood, G. R. Generalized Linear Accident Models and Goodness of Fit Testing. Accident Analysis and Prevention, Vol. 34, No. 1, 2002, pp. 417-427.
    • (2002) Accident Analysis and Prevention , vol.34 , Issue.1 , pp. 417-427
    • Wood, G.R.1
  • 7
    • 12344321640 scopus 로고    scopus 로고
    • Confidence and prediction intervals for generalized linear accident models
    • Wood, G. R. Confidence and Prediction Intervals for Generalized Linear Accident Models. Accident Analysis and Prevention, Vol. 37, No. 2, 2005, pp. 267-273.
    • (2005) Accident Analysis and Prevention , vol.37 , Issue.2 , pp. 267-273
    • Wood, G.R.1
  • 8
    • 0344506348 scopus 로고
    • Modified pseudo-likelihood estimator of the overdispersion parameter in poisson mixture models
    • Dean, C.B. Modified Pseudo-Likelihood Estimator of the Overdispersion Parameter in Poisson Mixture Models. Journal of Applied Statistics, Vol. 21, No. 6, 1994, pp. 523-532.
    • (1994) Journal of Applied Statistics , vol.21 , Issue.6 , pp. 523-532
    • Dean, C.B.1
  • 9
    • 0024601101 scopus 로고
    • Estimation of the negative binomial parameter by maximum quasi-likelihood
    • Clark, S. J., and J. N. Perry. Estimation of the Negative Binomial Parameter by Maximum Quasi-Likelihood. Biometrics, Vol. 45, 1989, pp. 309-316.
    • (1989) Biometrics , vol.45 , pp. 309-316
    • Clark, S.J.1    Perry, J.N.2
  • 10
    • 0025047727 scopus 로고
    • Maximum likelihood estimation for the negative Binomial dispersion parameter
    • Piegorsch, W. W. Maximum Likelihood Estimation for the Negative Binomial Dispersion Parameter. Biometrics, Vol. 46, 1990, pp. 863-867.
    • (1990) Biometrics , vol.46 , pp. 863-867
    • Piegorsch, W.W.1
  • 11
    • 85173160459 scopus 로고    scopus 로고
    • Modeling motor vehicle crashes using poisson-gamma models: Examining effects of low sample mean values and small sample size on estimation of fixed dispersion parameter
    • Washington, D.C.
    • Lord, D. Modeling Motor Vehicle Crashes Using Poisson-Gamma Models: Examining Effects of Low Sample Mean Values and Small Sample Size on Estimation of Fixed Dispersion Parameter. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D.C., 2006.
    • (2006) 85th Annual Meeting of the Transportation Research Board
    • Lord, D.1
  • 13
    • 1842428184 scopus 로고    scopus 로고
    • Modeling traffic crash-flow relationships for intersections: Dispersion parameter, functional form, and bayes versus empirical bayes methods
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Miaou, S.-P., and D. Lord. Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods. In Transportation Research Record: Journal of the Transportation Research Board, No. 1840, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 31-40.
    • (2003) Transportation Research Record: Journal of the Transportation Research Board, No. 1840 , vol.1840 , pp. 31-40
    • Miaou, S.-P.1    Lord, D.2
  • 14
    • 0035476879 scopus 로고    scopus 로고
    • Identification of sites for road accident remedial work by bayesian statistical methods: An example of uncertain inference
    • Heydecker, B. G., and J. Wu. Identification of Sites for Road Accident Remedial Work by Bayesian Statistical Methods: An Example of Uncertain Inference. Advances in Engineering Software, Vol. 32, 2001, pp. 859-869.
    • (2001) Advances in Engineering Software , vol.32 , pp. 859-869
    • Heydecker, B.G.1    Wu, J.2
  • 15
    • 10444235647 scopus 로고    scopus 로고
    • Modeling crash-flow-density and crash-flow-V/C ratio for rural and urban freeway segments
    • Lord, D., A. Manar, and A. Vizioli. Modeling Crash-Flow-Density and Crash-Flow-V/C Ratio for Rural and Urban Freeway Segments. Accident Analysis and Prevention, Vol. 37, No. 1, 2005, pp. 185-199.
    • (2005) Accident Analysis and Prevention , vol.37 , Issue.1 , pp. 185-199
    • Lord, D.1    Manar, A.2    Vizioli, A.3
  • 17
    • 0034432755 scopus 로고    scopus 로고
    • Accident prediction models with and without trend: Application of the generalized estimating equations procedure
    • TRB, National Research Council, Washington, D.C.
    • Lord, D., and B. N. Persaud. Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure. In Transportation Research Record: Journal of the Transportation Research Board, No. 1717, TRB, National Research Council, Washington, D.C., 2000, pp. 102-108.
    • (2000) Transportation Research Record: Journal of the Transportation Research Board, No. 1717 , vol.1717 , pp. 102-108
    • Lord, D.1    Persaud, B.N.2
  • 18
    • 1942440997 scopus 로고    scopus 로고
    • Estimating the safety performance of urban transportation networks
    • Lord, D., and B. N. Persaud. Estimating the Safety Performance of Urban Transportation Networks. Accident Analysis and Prevention, Vol. 36, No. 2, 2004, pp. 609-620.
    • (2004) Accident Analysis and Prevention , vol.36 , Issue.2 , pp. 609-620
    • Lord, D.1    Persaud, B.N.2
  • 19
    • 19944393621 scopus 로고    scopus 로고
    • Bayesian ranking of sites for engineering safety improvements: Decision parameter, treatability concept, statistical criterion and spatial dependence
    • Miaou, S.-P., and J. J. Song. Bayesian Ranking of Sites for Engineering Safety Improvements: Decision Parameter, Treatability Concept, Statistical Criterion and Spatial Dependence. Accident Analysis and Prevention, Vol. 37, No. 4, 2005, pp. 699-720.
    • (2005) Accident Analysis and Prevention , vol.37 , Issue.4 , pp. 699-720
    • Miaou, S.-P.1    Song, J.J.2
  • 20
    • 0003612798 scopus 로고    scopus 로고
    • Payne, R. W. (ed.) Lawes Agricultural Trust, Rothamsted Experimental Station, Oxford, United Kingdom
    • Payne, R. W. (ed.) The Guide to Genstat. Lawes Agricultural Trust, Rothamsted Experimental Station, Oxford, United Kingdom, 2000.
    • (2000) The Guide to Genstat
  • 22
    • 84988052086 scopus 로고
    • Negative binomial and mixed poisson regression
    • Lawless, J. F. Negative Binomial and Mixed Poisson Regression. Canadian Journal of Statistics, Vol. 15, No. 3, 1987, pp. 209-225.
    • (1987) Canadian Journal of Statistics , vol.15 , Issue.3 , pp. 209-225
    • Lawless, J.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.