The null distribution of the test statistic is the f-distribution and for each calculated statistic there is an associated probability density value.
The range in each case represents the sum of the ranks outside which the calculated statistic S must fall to reach that level of significance.
Calculate test statistic T as in (9). 5.
As the history available to calculate this statistic is quite short, we propose a simulation approach.
To further measure the error, we calculate the statistic error (Table 3).
Calculate the statistic in Eq. (1) for each data set, giving R O and R P, respectively.
1. Calculate the statistic in Eq. (1) for each data set, giving R O and R P, respectively.
Since the number of individuals is large, the residual variance was used to calculate the statistic test [23].
Third, we will describe how to calculate the statistic for variable importance estimation.
We report the numbers of observations used to calculate every statistic reported.
