In its paper the advances in predictive, analytical, computational and empirical models among others for the prediction of variables such as surface roughness, cutting forces, stresses, chip formation, etc. are highlighted.
All possible pairwise comparisons revealed significant differences in prediction of variables by group.
To overcome these drawbacks, a new dynamic and on-line ensemble regression (DOER) with fast adaptation capability for on-line prediction of variables given on a sample basis is proposed in this paper.
A general fatigue damage model along with the rainflow cycle counting method and linear damage rule were used for life predictions of variable amplitude service load history tests.
Variable X is said to Granger cause variable Y if predictions of variable Y are more accurate if lagged information of variable X is included along with lagged information of variable Y.
These were not shown because prediction of a variable based on the values of the variables it is related to rests solely on the joint conditional probability distribution and not on the individual Bayes factors.
Proper modeling of the progress of substrate degradation is of great importance in the prediction of operating variable of the composting process.
Miner's linear damage summation model provided a reasonable, yet slightly unconservative, prediction of the variable amplitude loading tests.
However, the evaporating pressure was found to be the model bottleneck so as to increase the model accuracy the prediction of this variable has to be enhanced.
A common use of the regression analysis is the prediction of a variable's values (e.g., future water/energy consumption, product prices, web pages visibility/prediction of potential visitors), based on existing/historical data.
