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Error and anomaly detection for intra-participant time-series data

Identification of errors or anomalous values, collectively considered outliers, assists in exploring data or through removing outliers improves statistical analysis. In biomechanics, outlier detection methods have explored the ‘shape’ of the entire cycles, although exploring fewer points using a ‘mo...

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Detalles Bibliográficos
Autores principales: Mullineaux, David R., Irwin, Gareth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857460/
http://dx.doi.org/10.1080/23335432.2017.1348913