PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Identification methods and procedures of climate-weather change process including extreme weather hazards

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There are presented the methods of identification of the climate-weather change process. These are the methods and procedures for estimating the unknown basic parameters of the climate-weather change process semi-Markov model and identifying the distributions of the climate-weather change process conditional sojourn times at the climate-weather states.
Rocznik
Strony
85--106
Opis fizyczny
Bibliogr. 24 poz., wykr.
Twórcy
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
autor
  • Maritime University, Gdynia, Poland
Bibliografia
  • 1. Barbu V., Limnios N., Empirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics, Vol. 18, No. 7-8, 483-498, 2006
  • 2. Collet J., Some remarks on rare-event approximation. IEEE Transactions on Reliability 45, 106-108, 1996
  • 3. EU-CIRCLE Report D2.1-GMU3, Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Climate-Weather Change Process (C-WCP) including Extreme Weather Hazards (EWH), 2016
  • 4. EU-CIRCLE Report D3.3-GMU3, Modelling inside and outside dependences influence on safety of complex multistate ageing systems (critical infrastructures) – Integrated Model of Critical Infrastructure Safety (IMCIS) related to its operation process including operating environment threats (with other critical infrastructures influence, without climate-weather change influence), 2016
  • 5. EU-CIRCLE Report D3.3-GMU12, Integration of the Integrated Model of Critical Infrastructure Safety (IMCIS) and the Critical Infrastructure Operation Process General Model (CIOPGM) into the General Integrated Model of Critical Infrastructure Safety (GIMCIS) related to operating environment threads (OET) and climate-weather extreme hazards (EWH), 2017
  • 6. EU-CIRCLE Report D3.3-GMU14, Application of the General Integrated Model of Critical Infrastructure Safety (GIMCIS) to port oil piping transportation system safety modelling, identification and prediction (with climate-weather change influence), 2017
  • 7. Ferreira F., Pacheco A., Comparison of level-crossing times for Markov and semi-Markov processes. Statistics and Probability Letters, Vol. 7, No 2, 151157, 2007
  • 8. Glynn P.W., Haas P.J., Laws of large numbers and functional central limit theorems for generalized semi Markov processes. Stochastic Models, Vol. 22, No 2, 201-231, 2006
  • 9. Grabski F., (2002) Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, 2002 (in Polish)
  • 10. Hryniewicz O., Lifetime tests for imprecise data and fuzzy reliability requirements. Reliability and Safety Analyses under Fuzziness. Onisawa T. and Kacprzyk J., Eds., Physica Verlag, Heidelberg, 169-182, 1995
  • 11. Kołowrocki K., Reliability of Large and Complex Systems, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014
  • 12. Kołowrocki K., Soszyńska J., A general model of industrial systems operation processes related to their environment and infrastructure. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 2, Vol. 2, 223-226, 2008
  • 13. Kolowrocki K., Soszynska J., Modeling environment and infrastructure influence on reliability and operation process of port oil transportation system. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 3, 131-142, 2009a
  • 14. Kolowrocki K., Soszynska J., Safety and risk evaluation of Stena Baltica ferry in variable operation conditions. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 168180, 2009b
  • 15. Kołowrocki K., Soszyńska J., Statistical identification and prediction of the port oil pipeline system’s operation process and its reliability and risk evaluation. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 3, Vol. 2, 241-250, 2009c
  • 16. Kołowrocki K., Soszyńska J., Methods and algorithms for evaluating unknown parameters of operation processes of complex technical systems. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 3, Vol. 1, 2, 211-222, 2009d
  • 17. Kołowrocki K., Soszyńska J., Statistical identification and prediction of the port oil pipeline system’s operation process and its reliability and risk evaluation. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 4, Vol. 2, 241-250, 2009e
  • 18. Kolowrocki K., Soszynska J., Testing uniformity of statistical data sets coming from complex systems operation processes. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 4, Vol. 1,123-132, 2010b
  • 19. Kołowrocki K., Soszyńska-Budny J., Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization, London, Dordrecht, Heildeberg, New York, Springer, 2011
  • 20. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
  • 21. Limnios N., Ouhbi B., Sadek A., Empirical estimator of stationary distribution for semi-Markov processes. Communications in Statistics-Theory and Methods, Vol. 34, No. 4, 987-995 12, 2005
  • 22. Macci C., Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space. Communications in StatisticsTheory and Methods, Vol. 37, No. 19,3077-3089, 2008
  • 23. Mercier S., Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability, Vol. 10, No. 2, 179-198, 2008
  • 24. Rice J. A., Mathematical statistics and data analysis. Duxbury. Thomson Brooks/Cole. University of California. Berkeley, 2007
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-174154a6-bf2c-44cc-bf1e-91adeaa218dd
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.