Computer-simulation data inclusive regression modelling in measurement

Measurement involves the determination of quantitative estimates of physical quantities from experiment, along with estimates of their associated uncertainties. Herewith an experimental system model is the key to extracting information from experimental data. With this concern novel regression modelling techniques have been fashioned by data combination from designed computer-simulation and physical experiments. These techniques have allowed attaining the advanced level of model completeness and precision via approximation of the true unknown model by mathematical product of appropriate theoretical and empirical functions. Pneumatic gauge candidate models’ building, solving and validation revealed that computer-simulation data inclusive response surface models permit to attain minimum discrepancy from empirical evidence.