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An alternative approach to trend analysis in accident data

Author

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  • Kvaløy, J.T.
  • Aven, T.

Abstract

Traditional statistical theory is the most common tool used for trend analysis in accident data. In this paper, we point at some serious problems in using this theory in a practical safety management setting. An alternative approach is presented and discussed in which focus is on observable quantities and expressing uncertainties regarding these rather than on hypothetical probability distributions.

Suggested Citation

  • Kvaløy, J.T. & Aven, T., 2005. "An alternative approach to trend analysis in accident data," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 75-82.
    • Handle: RePEc:eee:reensy:v:90:y:2005:i:1:p:75-82
    DOI: 10.1016/j.ress.2004.10.010
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    Citations

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    Cited by:

    1. Puisa, Romanas & Montewka, Jakub & Krata, Przemyslaw, 2023. "A framework estimating the minimum sample size and margin of error for maritime quantitative risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Røed, Willy & Aven, Terje, 2009. "Bayesian approaches for detecting significant deterioration," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 604-610.
    3. Mara Lombardi & Mario Fargnoli & Giuseppe Parise, 2019. "Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents′ Databases: A Case Study in Construction Sites," IJERPH, MDPI, vol. 16(23), pages 1-22, November.
    4. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    5. Vinnem, Jan Erik & Aven, Terje & Husebø, Torleif & Seljelid, Jorunn & Tveit, Odd J., 2006. "Major hazard risk indicators for monitoring of trends in the Norwegian offshore petroleum sector," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 778-791.

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