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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 597243, 8 pages
http://dx.doi.org/10.1155/2013/597243
Research Article

Risk Modelling for Passages in Approach Channel

Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland

Received 22 February 2013; Revised 14 June 2013; Accepted 1 July 2013

Academic Editor: Jia-Jang Wu

Copyright © 2013 Leszek Smolarek and Henryk Śniegocki. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. I. Jordan, “Why the logistic function? A tutorial discussion on probabilities and neural networks,” Computational Cognitive Science Report 9503, MIT Press, Boston, Mass, USA, 1995. View at Google Scholar
  2. M. I. Jordan and A. Y. Ng, “On discriminative versus generative classifiers: a comparison of logistic regression and naive Bayes,” in Proceedings of the 16th Annual Conference on Neural Information Processing Systems, 2002.
  3. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer Series in Statistics, Springer, New York, NY, USA, 2001. View at MathSciNet
  4. J. C. Gardiner and Z. Luo, Logit Models in Practice: B, C, E, G, M, N, O…, SAS Global Forum 2011 Statistics and Data Analysis, Michigan State University, East Lansing, Mich, USA, 2011.
  5. K. K. W. Yau, “Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong,” Accident Analysis and Prevention, vol. 36, no. 3, pp. 333–340, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. K. K. W. Yau, H. P. Lo, and S. H. H. Fung, “Multiple-vehicle traffic accidents in Hong Kong,” Accident Analysis and Prevention, vol. 38, no. 6, pp. 1157–1161, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. R. O. Mujalli and J. de Ona, “Injury severity models for motor vehicle accidents,” in Proceedings of the Institution of Civil Engineers, pp. 1–16, University of Granada, Granada, Spain, 2011. View at Google Scholar
  8. S. Patil, S. R. Geedipally, and D. Lord, “Analysis of crash severities using nested logit model—accounting for the underreporting of crashes,” Accident Analysis and Prevention, vol. 45, pp. 646–653, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. P. Averty, K. Guittet, and P. Lezaud, “An ordered logit model of air traffic controllers' conflict risk judgment,” Air Traffic Control Quarterly, vol. 16, no. 2, pp. 101–125, 2008. View at Google Scholar
  10. G. van de Wiel and J. R. van Dorp, “An oil outflow model for tanker collisions and groundings,” Annals of Operations Research, vol. 187, no. 1, pp. 279–304, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Greenland, “Principles of multilevel modelling,” International Journal of Epidemiology, vol. 29, no. 1, pp. 158–167, 2000. View at Google Scholar · View at Scopus
  12. S. Gucma, “Model of vessel's manoeuvring in limited sea areas in navigational risk aspect,” Archives of Transport, vol. 12, no. 1, 2000. View at Google Scholar
  13. A. Blokus-Roszkowska Smolarek L, “Collision risk estimation for motorways of the sea,” Reliability: Theory and Applications, vol. 1, no. 2 (25), pp. 58–68, 2012. View at Google Scholar
  14. Z. Smalko and L. Smolarek, “Modelling a ship safety according to collision threat for ship routes crossing,” Scientific Journals Maritime University of Szczecin, vol. 20, no. 92, pp. 120–127, 2010. View at Google Scholar
  15. L. Smolarek and H. Sniegocki, “The use of logit models to navigational risk analysis at restricted areas” (Polish), Gdynia Maritime University, 2012.
  16. K. V. Borooah, Logit and Probit: Ordered and Multinominal Models, Sage, Thousand Oaks, Calif, USA, 2002.
  17. J. S. Cramer, Logit Models from Economics and Other Fields, Cambridge University Press, Cambridge, UK, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  18. H. Sniegocki, “Errors in the presentation of the vessels course and speed for the Vts operator,” Annual of Navigation, vol. 4, pp. 81–90, 2002. View at Google Scholar
  19. M. S. Lewis-Back, Applied Regression, Sage, Newbury Park, Calif, USA, 1980.
  20. T. F. Liao, Interpreting Probability Models Logit, Probit and Other Generalized Linear Models, Sage, Thousand Oaks, Calif, USA, 1994.
  21. J. J. Heckman, “Dummy endogenous variables in a simultaneous equation system,” Econometrica, vol. 46, no. 4, pp. 931–959, 1978. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  22. W. Whitt, “Fitting birth-and-death queueing models to data,” Statistics and Probability Letters, vol. 82, no. 5, pp. 998–1004, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus