Table 1--Models, residual mean square (RME),

mean absolute deviation (MAD), mean squared prediction error (MSPE) and index for milk production and protein and fat percentages.

2] (CV),

mean absolute deviation, and relative error values calculated for 83 polymers are tabulated in Table 2.

2

Mean Absolute Deviation Index (MADI) The

Mean Absolute Deviation Index ( ) has been used in this study for the comparison between the probability distribution for fitting the data.

Table 10 presents the country-level

mean absolute deviations of two interesting country groups and the within-country variability at NUTS 1 and NUTS2 levels of the countries in these groups.

It shows good agreement with available test data, the

mean absolute deviation being 18%.

Wavelet coefficients statistics include Mean, Median, Mode, Maximum, Minimum, Range, Standard deviation, Median absolute deviation,

Mean absolute deviation.

Mean Absolute Deviation (MAD) and Revised Mean Absolute Percentage Errors (RMAPE) are then used to measure the forecasting accuracy from SES with different initial values for a lead time of 3, 5, 10, 15, and 25.

2] modeling, it predicted 27 experiment data points with a

mean absolute deviation [MAD] of 3.

The

Mean Absolute Deviation (MAD) is similar to standard deviation but the formula of estimation is less difficult to apply for time series:

Therefore, when data are from independent time series, the

Mean Absolute Deviation (MAD) reveals valid the forecasting accuracies from various Moving Average Methods, but not from MAPE or RMAPE.

the

mean absolute deviation E [absolute value of X - EX], and the upper

mean absolute deviation [E(X - EX).

For this distribution, 25 is the

mean absolute deviation, (3) the usual or average amount by which the values drawn differ from the mean of the distribution, which is closely related to the standard deviation.