Research Article
F-Ratio Test and Hypothesis Weighting: A Methodology to Optimize Feature Vector Size
Table 1
Outcomes of F-ratio test statistics with a considerable significance level for EEG feature vectors.
| Test statistic | Feature vector | | Ratio | Test statistic | | Significance | used | (measures) | | | value | | level |
| | , -power | 6.168 | 0.233 | 1.412 | 1.507 | >0.95 | (19) | | | | | | | | , b0 | 10.393 | 0.145 | 1.489 | 1.822 | >0.95 | (19) | | | | | | | | , -power, -power | 6.890 | 0.158 | 1.416 | 2.21 | >0.90 | (19) | | | | | | | | , -power, -power | 6.890 | 0.158 | 1.192 | 2.21 | 0.90 | (20) | | | | | | |
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