Find a task ti having the highest mean absolute deviation
r = Pearson correlation coefficient; MAD = mean absolute deviation
Positive correlation with the advancing CIN grade (r > 0.3) displayed those dwt2 features that evaluate the mean and median of the H-image (dwt2H Mean Value and dwt2H Median Value), and negative correlations displayed those that evaluate the mean and the median of the absolute deviation (dwt2H Mean Absolute Deviation
and dwt2H Median Absolute Deviation) (Table 3).
Mean absolute deviation
(M.A.D) is 0.0383 (Nonconformity).
Eight forecasting methods are used and measures of forecasting accuracy, namely, mean absolute deviation
(MAD), Mean Absolute Percentage Error (MAPE), and mean square deviation (MSD), are calculated using Minitab 17 package.
The features extracted are Entropy, Energy, Standard Deviation and Mean absolute deviation
. The input layer has 4 neurons and output layer has 2 neurons.
2 yielded a mean absolute deviation
of 4 kJ/g and relative error of 29%.
Keywords: L-Moments, TL-Moments, Mean Absolute Deviation
Index, Generalized Pareto Distribution
For obtain the best fit of collect data, we compared models through the mean square (QMR), residual sum of squares (SQR), total sum of squares corrected for the mean (SQTC) and mean absolute deviation
of the residues (DMA), according Sarmento et al.
The Autoregressive Integrated Moving Average models are used to produce forecasts of long-term total indirect tax and federal revenue collections, which seem to give minimum forecast errors based on a nonparametric Mean Absolute Deviation
based on Konno and Yamazaki's mean absolute deviation
(MAD) model .
Inventory Deviation (DINV), the other dependent variable, is the mean absolute deviation
for a state to the inventory mean of all states during a particular year.