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Author Arefyev, Igor B.
Affiliation Maritime University of Szczecin 70-507 Szczecin, ul. Henryka Pobożnego 11
E-mail i.arefyev@am.szczecin.pl
Author Volovik, A.V.
Affiliation National Mineral Resource University “Mining” 199106, Petersburg, VO, 21-Line, 2, Russia
E-mail kss59@mail.ru
Author Klavdiev, А.А.
Affiliation National Mineral Resource University “Mining” 199106, Petersburg, VO, 21-Line, 2, Russia
E-mail kss59@mail.ru
ISSN printed 1733-8670
URI http://repository.scientific-journals.eu/handle/123456789/612
Abstract One of the major problems of transport systems is the movement organization without catastrophes. It is particularly important for the rolling stock of the river fleet. In this paper, the authors propose the evaluation method of the technical condition of inland waterway vessels on the statistics of accidents and disasters of previous navigation. The method is based on the statistics for the small samples
Pages 5-9
Publisher Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie
Keywords reliability
Keywords navigation
Keywords weather
Keywords river boat
Keywords operation
Title Method of the assessment of the river craft technical condition on the basis of the microstatistics
Type Original scientific article
References
  1. AREFYEV I.B., TROJANOWSKI J.: Avtomatizaciâ sudopropuska na vnutrennih vodnyh putâh (Automation crossing vessels for inland shipping), SPb, SPGTU, 2007.
  2. http://bibliofond.ru/view.aspx?id=26836 http://bibliofond.ru/view.aspx?id=26836
  3. AREFYEV I.: Adaptation of integral Charakteristics Method for an Estimation of Critical Navigational Situations in Difficult Rout Sections. Vol. 18, No. 2A, 2009.
  4. KLAVDIEV А.А., PASEVIČ V.: Adaptivnye tehnologii informacionno- veroâtnostnogo analiza transportnyh sistem (Adaptive technology for information and probabilistic analysis of transport systems). SZTU, Sankt-Peterburg 2009.
  5. CHIU S., TAVELLA D.: Data mining and market intelegence for optimal marketing returns. Elsevier, 2008.
  6. DANIER H.H.: Operational Risk. Modeling Analytics. Wiley and Sons, 2006.
  7. KNOGE D., YANG S.: Social Network analysis. Sage Publications, 2008.
  8. COX E.: Fuzzy modeling and genetic algoritms for data mining and exploration. Morgan Kaufman Publishers, San- Francisco 2005, 230–238.
  9. SOBCZYK M.: Statystyka. PWN, Warszawa 2007.
  10. KLEINBAUM D.G., KLEIN M.: Logistic Regressin. Second edition, Springer Science + Businiess Media, New York 2002.
  11. Wiadomości statystyczne nr 5 (Statistical News No. 5). Warszawa, Gmach GUS.
  12. HILL T., LEWICKI P.: Statistica. Metods and application. Stat Soft Inc., Tulsa 2006.
  13. KENNY D.A., KASHY D.A., GOOK W.L.: Dyadic data analysis. Guilford Press, New York 2006.
  14. IVČENKO B.P., MARTYŠČENKO L.A., TABUHOV M.E.: Upravlenie v ekonomičeskih i socjalnyh sistemah (Management in the economic and social systems). SPb, „Nordmed-Izdat”, 2001.
  15. GNEDENKO B.V., BELAIEV U.K., SOLOVIEV A.D.: Matematičeskie metody v teorii nadežnosti (Mathematical methods in the reliability theory). Nauka, 1965.
ISSN on-line 2392-0378
Language English
Funding No data
Figures 6
Tables 1
Published 2014-03-10
Accepted 2014-02-10
Recieved 2014-01-13


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