Research Article
A Method for Improving Imputation and Prediction Accuracy of Highly Seasonal Univariate Data with Large Periods of Missingness
Table 2
Analysis of the imputation with Kalman filtering [
9].
| Week # | N | Mean | Standard Error of Mean | 95 CI for Mean – Lower | 95 CI for Mean – Upper | Width of CI |
| Week 1 | 2016 | 0.5966 | 0.0234 | 0.5508 | 0.6424 | 0.0916 | Week 2 | 2016 | 0.6253 | 0.0233 | 0.5795 | 0.6711 | 0.0916 | Week 3 | 2016 | 0.8526 | 0.0275 | 0.7987 | 0.9065 | 0.1078 | Week 4 | 2016 | 0.8401 | 0.0254 | 0.7903 | 0.8899 | 0.0995 |
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