Inefficiency source tracking: evidence from data envelopment analysis and random forests

Research article (Annals of Operations Research, 2021) · cited 14× · AI/ML
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Inefficiency source tracking: evidence from data envelopment analysis and random forests

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Inefficiency source tracking: evidence from data envelopment analysis and random forests is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Inefficiency source tracking: evidence from data envelopment analysis and random forests. Retrieved May 24, 2026, from https://4ort.xyz/entity/inefficiency-source-tracking-evidence-from-data-envelopment-analysis-and-random-forests
MLA “Inefficiency source tracking: evidence from data envelopment analysis and random forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inefficiency-source-tracking-evidence-from-data-envelopment-analysis-and-random-forests.
BibTeX @misc{4ortxyz_inefficiency-source-tracking-evidence-from-data-envelopment-analysis-and-random-forests_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inefficiency source tracking: evidence from data envelopment analysis and random forests}}, year = {2026}, url = {https://4ort.xyz/entity/inefficiency-source-tracking-evidence-from-data-envelopment-analysis-and-random-forests}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Inefficiency source tracking: evidence from data envelopment analysis and random forests — https://4ort.xyz/entity/inefficiency-source-tracking-evidence-from-data-envelopment-analysis-and-random-forests (retrieved 2026-05-24)

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