Precision gain versus effort with joint models using detection/non‐detection and banding data

Research article (Ecology and Evolution, 2019) · cited 18× · AI/ML
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Precision gain versus effort with joint models using detection/non‐detection and banding data

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Precision gain versus effort with joint models using detection/non‐detection and banding data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Precision gain versus effort with joint models using detection/non‐detection and banding data. Retrieved May 24, 2026, from https://4ort.xyz/entity/precision-gain-versus-effort-with-joint-models-using-detection-nondetection-and-banding-data
MLA “Precision gain versus effort with joint models using detection/non‐detection and banding data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/precision-gain-versus-effort-with-joint-models-using-detection-nondetection-and-banding-data.
BibTeX @misc{4ortxyz_precision-gain-versus-effort-with-joint-models-using-detection-nondetection-and-banding-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Precision gain versus effort with joint models using detection/non‐detection and banding data}}, year = {2026}, url = {https://4ort.xyz/entity/precision-gain-versus-effort-with-joint-models-using-detection-nondetection-and-banding-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Precision gain versus effort with joint models using detection/non‐detection and banding data — https://4ort.xyz/entity/precision-gain-versus-effort-with-joint-models-using-detection-nondetection-and-banding-data (retrieved 2026-05-24)

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