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The log-scale differences between model PLL values for BS t versus BN models were 1,000, which greatly exceeds 2.5 and decisively indicates the inadequacy of the normality assumption for the distribution of error terms.
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The following section derives an expression for the expected mean and covariance of the distribution of errors for the three poles for each interval.
We then determined the threshold for removing erroneous tags from the distribution of error-free tags, as described above.
Therefore, finding a proper model with an appropriate assumption for the distribution of errors would be a valuable contribution to the field of exchange rate modeling in Bangladesh regarding the BDT against the US dollar.
To test for normality in the distribution of error scores we examined the Q-Q plots of the residuals of the subscales, and found that all were normally distributed.
Univariate histograms showing the distribution of error values for each prediction are shown in Fig. 5(b).
The distribution of errors for each criterion for each possible complexity of the model structures can be seen in Additional file 1: Figure S6.
The PP method estimates the non- augmented DF test equation, and it can be seen as a generalization of the ADF test procedure, which allows for fairly mild assumptions concerning the distribution of errors.
The distribution of errors for the sites, and the geometry of the sites, determine the performance of the proposed method.
To see how far ahead in time t d one can predict the value in relation to error, the distribution of errors for each time t d is plotted in Figure 14.
The distribution of errors for each tree uses the calculated mean and standard deviation of the appropriate species, genus, NFMP, or conservation area.
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