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A note on detecting statistical outliers in psychophysical data
This paper considers how to identify statistical outliers in psychophysical datasets where the underlying sampling distributions are unknown. Eight methods are described, and each is evaluated using Monte Carlo simulations of a typical psychophysical experiment. The best method is shown to be one ba...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647454/ https://www.ncbi.nlm.nih.gov/pubmed/31089976 http://dx.doi.org/10.3758/s13414-019-01726-3 |