Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment

This article provides a commentary on the following paper published in Reliability Engineering and System Safety: “Understanding Near-miss Count Data on Construction Sites using Greedy D-vine Copula Marginal Regression” by Fan Wang, Heng Li and Chao Dong (2021). Issues that come to the fore relate t...

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Main Authors: Love, Peter, Tenekedjiev, K.
Format: Journal Article
Language:English
Published: ELSEVIER SCI LTD 2022
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/90143
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author Love, Peter
Tenekedjiev, K.
author_facet Love, Peter
Tenekedjiev, K.
author_sort Love, Peter
building Curtin Institutional Repository
collection Online Access
description This article provides a commentary on the following paper published in Reliability Engineering and System Safety: “Understanding Near-miss Count Data on Construction Sites using Greedy D-vine Copula Marginal Regression” by Fan Wang, Heng Li and Chao Dong (2021). Issues that come to the fore relate to the paper's theoretical and methodological underpinning and relevance to practice. Ambiguities with the mathematical model are also identified.
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spelling curtin-20.500.11937-901432023-09-19T03:42:22Z Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment Love, Peter Tenekedjiev, K. Science & Technology Technology Engineering, Industrial Operations Research & Management Science Engineering Construction Near-miss Incidents Probabilistic model Safety This article provides a commentary on the following paper published in Reliability Engineering and System Safety: “Understanding Near-miss Count Data on Construction Sites using Greedy D-vine Copula Marginal Regression” by Fan Wang, Heng Li and Chao Dong (2021). Issues that come to the fore relate to the paper's theoretical and methodological underpinning and relevance to practice. Ambiguities with the mathematical model are also identified. 2022 Journal Article http://hdl.handle.net/20.500.11937/90143 10.1016/j.ress.2021.108021 English http://creativecommons.org/licenses/by-nc-nd/4.0/ ELSEVIER SCI LTD fulltext
spellingShingle Science & Technology
Technology
Engineering, Industrial
Operations Research & Management Science
Engineering
Construction
Near-miss
Incidents
Probabilistic model
Safety
Love, Peter
Tenekedjiev, K.
Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title_full Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title_fullStr Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title_full_unstemmed Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title_short Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment
title_sort understanding near-miss count data on construction sites using greedy d-vine copula marginal regression: a comment
topic Science & Technology
Technology
Engineering, Industrial
Operations Research & Management Science
Engineering
Construction
Near-miss
Incidents
Probabilistic model
Safety
url http://hdl.handle.net/20.500.11937/90143