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In addition to this quantitative determination of errors, other likely error sources affecting both system modeling and calibration are also considered.
The determination of errors generated by systems measuring dynamically changeable signals presents a difficult problem due to their unknown shape and the measurement duration.
Determination of errors was made on retrospective review by two independent raters.
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Therefore, determination of error parameters between undamaged and damaged structures is a major aspect in damage detection method by finite element modal updating.
The key feature of this proposed algorithm lies in fast determination of error positions through the analysis on the weight of syndromes without large operations in finite fields.
Because true relevant exposure in environmental epidemiologic studies is not known exactly, determination of error type is challenging; thus, here we examine the impact of error modelled as two distinctly different types: classical and Berkson.
To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models.
The use of CBCT allowed the determination of translational errors to within 0.5 mm, whereas kV planar was within 1 to 2 mm.
A precise characterization using numerical simulations allows the determination of residual errors in the structure, which can appear during or after the coating process.
It offers statistical tools for the rigorous determination of parameter errors, correlations, as well as advanced statistical functions for global ITC (gITC) and global multi-method analysis (GMMA).
Thus, for the precise determination of systematic errors, the measurement of one or a few single spheres is insufficient.
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