Understanding near-miss count data on construction sites using greedy D-vine copula marginal regression: A reply
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference13 articles.
1. Understanding near-miss count data on construction sites using greedy d-vine Copula Marginal Regression: a comment;Love;Reliab Eng Syst Saf,2022
2. Understanding near-miss count data on construction sites using greedy d-vine copula marginal regression;Wang;Reliab Eng Syst Saf,2021
3. Risk management in a dynamic society: a modeling problem;Rasmussen;Saf Sci,1997
4. A new accident model for engineering safer systems;Leveson;Saf Sci,2004
5. Incorporating organizational factors into probabilistic risk assessment (PRA) of complex socio-technical systems: a hybrid technique formalization;Mohaghegh;Reliab Eng Syst Saf,2009
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