Modeling go-around occurrence using principal component logistic regression

Research article (Transportation Research Part C Emerging Technologies, 2021) · cited 24× · AI/ML
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Modeling go-around occurrence using principal component logistic regression

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Modeling go-around occurrence using principal component logistic regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Modeling go-around occurrence using principal component logistic regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-go-around-occurrence-using-principal-component-logistic-regression
MLA “Modeling go-around occurrence using principal component logistic regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-go-around-occurrence-using-principal-component-logistic-regression.
BibTeX @misc{4ortxyz_modeling-go-around-occurrence-using-principal-component-logistic-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling go-around occurrence using principal component logistic regression}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-go-around-occurrence-using-principal-component-logistic-regression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling go-around occurrence using principal component logistic regression — https://4ort.xyz/entity/modeling-go-around-occurrence-using-principal-component-logistic-regression (retrieved 2026-05-24)

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