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In the revised version of the paper we have changed the order of predictions, this particular prediction has been moved to no. 5. We now explicitly indicate that it is the total concentration of Zn that should be conserved.
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The predicted points with a pth order of prediction are as follows: (1) x ^ (n ) = ∑ i = 1 p a i · x (n − i ), where a i is linear predictor coefficients of the ith order.
Since our criteria of optimization is the minimization of forward prediction error, we increased the order of prediction filter, and monitored output forward prediction error.
where a k are the prediction coefficients, K is the order of prediction filter and r(n) is the prediction error or the residual.
Note that the size of each coefficient matrix in three-channel case increases by three when the order of prediction filter increases from α − 1 to α.
The main result of this paper determines the computational order of prediction from a dynamical statistical model underpinned by the dynamical computer model.
The order of prediction performance according to both CV testing R2 and that for the hold-out data set was BRT > BN > ANN.
Note that the size of each coefficient matrix increases by two when the order of prediction filter increases from ℓ−1 to ℓ, and 0 is a 1 × (ℓ + 1) zero matrix as before.
Furthermore, it is shown that the computational orders of predictions from this dynamical statistical model and from a black box statistical model are comparable, but the likelihood optimization of the former model is more efficient.
In the present paper, however, I concentrate on the use of the TCD for approximate, order-of-magnitude predictions, because these can be very useful during failure analysis.
Early-stage lung cancer is associated with higher odds of a suggestion of a limitation of care order, independent of predictions about mortality and morbidity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com