prikaz prve stranice dokumenta Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping
  Download
PDF 4.45 MB
Scientific paper - Review paper
Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping
Pomorstvo, 37 (2023), 1; 16-22. https://doi.org/10.31217/p.37.1.2
Bonato, Jasminka; Draščić Ban, Biserka

Cite this document

Bonato, J. & Draščić Ban, B. (2023). Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping. Pomorstvo, 37. (1), 16-22. doi: 10.31217/p.37.1.2

Bonato, Jasminka and Biserka Draščić Ban. "Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping." Pomorstvo, vol. 37, no. 1, 2023, pp. 16-22. https://doi.org/10.31217/p.37.1.2

Bonato, Jasminka and Biserka Draščić Ban. "Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping." Pomorstvo 37, no. 1 (2023): 16-22. https://doi.org/10.31217/p.37.1.2

Bonato, J. and Draščić Ban, B. (2023) 'Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping', Pomorstvo, 37(1), pp. 16-22. doi: 10.31217/p.37.1.2

Bonato J, Draščić Ban B. Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping. Pomorstvo [Internet]. 2023 [cited 2024 June 21];37(1):16-22. doi: 10.31217/p.37.1.2

J. Bonato and B. Draščić Ban, "Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping", Pomorstvo, vol. 37, no. 1, pp. 16-22, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:114621. [Accessed: 21 June 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Application of the Polynomial Function in the Analysis of Statistical Indicators of Risk and Safety in Shipping
AuthorJasminka Bonato https://orcid.org/0000-0003-1448-3296
AuthorBiserka Draščić Ban https://orcid.org/0000-0002-8201-1402
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract (english)
Navigation safety issues are of common interest to all maritime countries due to their actions in a complex and risky environment. The world’s most serious ship accidents can cause major economic losses, loss of life, and severe environmental pollution in the sea. The data included in trust and security databases are usually collected from different sources. The accuracy of the collected data may vary from source to source due to a greater number of external and internal factors such as different manufacturers, and working and environmental conditions. The quality of the data may vary due to the incompleteness of the details, subjectivity, and experience of the data collector. Databases on the frequency of failures, the estimation of which can be based on recorded failure events, are difficult to access. Therefore, the aim of the research, based on the available statistical indicators of maritime risks and safety, is to indicate the application of mathematical statistics, analysis and assessment of unwanted events. The statistical methods proposed in the paper aim to point out the importance of prediction and the possibility of improving safety. In this sense, the polynomial function was applied. To visualize the results obtained during the research, the Excel program is used.
Keywords (english)
Languageenglish
Publication typeScientific paper - Review paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorstvo
Numberingvol. 37, no. 1, pp. 16-22
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.37.1.2
URN:NBNurn:nbn:hr:187:114621
Publication2023
Document URLhttps://hrcak.srce.hr/304303
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-07-27 07:35:05