Find a task ti having the highest

mean absolute deviationr = 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 (MAD) test.

based on Konno and Yamazaki's

mean absolute deviation (MAD) model [6].

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.