Local decorrelation for error bars in time series
Time series and electroencephalographic data are often noisy sources of data. In addition, the samples are often small or medium so that confidence intervals for a given time point taken in isolation may be large. Decorrelation techniques were shown to be adequate and exact for repeated-measure desi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2024-03-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | https://www.tqmp.org/RegularArticles/vol20-2/p173/p173.pdf |