Home ›
Entities
› academia
› Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity
Research article (Analytic Methods in Accident Research, 2021) · cited 72× · AI/ML
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity
Summary
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity is a scholarly article[1].
Key Facts
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity. Retrieved May 24, 2026, from https://4ort.xyz/entity/injury-severity-analysis-of-motorcycle-crashes-a-comparison-of-latent-class-clustering-and-latent-segmentation-based-mod
MLA“Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/injury-severity-analysis-of-motorcycle-crashes-a-comparison-of-latent-class-clustering-and-latent-segmentation-based-mod.
BibTeX@misc{4ortxyz_injury-severity-analysis-of-motorcycle-crashes-a-comparison-of-latent-class-clustering-and-latent-segmentation-based-mod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity}}, year = {2026}, url = {https://4ort.xyz/entity/injury-severity-analysis-of-motorcycle-crashes-a-comparison-of-latent-class-clustering-and-latent-segmentation-based-mod}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity — https://4ort.xyz/entity/injury-severity-analysis-of-motorcycle-crashes-a-comparison-of-latent-class-clustering-and-latent-segmentation-based-mod (retrieved 2026-05-24)
