A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes

Research article (Accident Analysis & Prevention, 2015) · cited 220× · AI/ML
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A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes

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A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes is a scholarly article[1].

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  • A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multinomial-logit-model-bayesian-network-hybrid-approach-for-driver-injury-severity-analyses-in-rear-end-crashes
MLA “A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multinomial-logit-model-bayesian-network-hybrid-approach-for-driver-injury-severity-analyses-in-rear-end-crashes.
BibTeX @misc{4ortxyz_a-multinomial-logit-model-bayesian-network-hybrid-approach-for-driver-injury-severity-analyses-in-rear-end-crashes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes}}, year = {2026}, url = {https://4ort.xyz/entity/a-multinomial-logit-model-bayesian-network-hybrid-approach-for-driver-injury-severity-analyses-in-rear-end-crashes}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes — https://4ort.xyz/entity/a-multinomial-logit-model-bayesian-network-hybrid-approach-for-driver-injury-severity-analyses-in-rear-end-crashes (retrieved 2026-05-24)

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