Quantitative risk assessment of seafarers’ nonfatal injuries due to occupational accidents based on Bayesian network modeling
Reducing the incidence of seafarers’ workplace injuries is of great importance to shipping and ship management companies. The objective of this study is to identify the important influencing factors and to build a quantitative model for the injury risk analysis aboard ships, so as to provide a decis...
Saved in:
Main Authors: | Zhang, Guizhen, Thai, Vinh V., Law, Adrian Wing-Keung, Yuen, Kum Fai, Loh, Hui Shan, Zhou, Qingji |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136792 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities
by: Zhang, Guizhen, et al.
Published: (2019) -
EMPIRICAL LIKELIHOOD, CLASSIFICATION AND APPROXIMATE BAYESIAN COMPUTATION
by: PHAM THI KIM CUC
Published: (2016) -
On Computational Techniques for Bayesian Empirical Likelihood and Empirical Likelihood Based Bayesian Model Selection
by: YIN TENG
Published: (2014) -
Investigation into interactions between accident consequences and traffic signs : a Bayesian bivariate Tobit quantile regression approach
by: Xu, Xuecai, et al.
Published: (2019) -
Determinants of job satisfaction and performance of seafarers
by: Yuen, Kum Fai, et al.
Published: (2019)