approach for assessing error metrics, namely, the root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE), mean error (Mean), standard deviation (StD) and correlation coefficient (R);
and free correlation parameters stddev heteroskedastic homoskedastic pattern matname fixed matname Description estimate standard deviation for each alternative; standard deviations for basealternative() and scalealternative() set to one all standard deviations are one user-specified matrix identifying the ...
globalmv.put(relation.get(iditer).doubleValue(0)); finaldoubleglobalZ=(relation.get(iditer).doubleValue(0)-globalmv.getMean())/globalmv.getNaiveStddev(); continue; localm.put((relation.get(iter).doubleValue(0)-globalmv.getMean())/globalmv.getNaiveStddev()); 代码示例来源:origin: elki-...
Table 2. ANOVA Summary Table Source Weight Relation WxR Error Total df 1 1 1 172 175 SSQ 10.4673 8.8144 0.1038 289.7132 310.1818 MS 10.4673 8.8144 0.1038 1.6844 F 6.214 5.233 0.062 p 0.0136 0.0234 0.8043 Consider first the effect of "Weight." The degrees of freedom (df) for "Weight" is ...
The standard error (Std.Err.) represents the standard deviation of the error. The mean absolute error (MAE) calculates the mean daily absolute difference between the implied VIX and the CBOE VIX. The mean squared error (MSE) computes the mean daily squared difference between the implied VIX ...
Finally, GWR was used to explore the relation between urban rainstorm waterlogging and impervious surfaces. The detailed steps of the main methods are shown below. (1) Urban Runoff Plot Division Urban rainstorm waterlogging happens when rainwater is not balanced in the catchment area in which the ...