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Random residual error was described using an additive model.
The residual error was described by a combined additive and proportional error model.
IIV and IOV were described by exponential models, and residual error was described by a proportional model.
Residual error was described as Y = F × (1 + ε1), where Y is the observed NVP concentration, F is the predicted concentration, and ε1 is the proportional random effects, assumed to have a mean of zero and variance of σ1.
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Countermeasures for each error were described and each measure was evaluated on effectiveness.
This kind of 'superficiality' error is described by cognitive psychology (Reif 1987; Hammer 1996).
The detail assessment method and probable error is described and discussed.
The process and the steps of solving elliptical profile error are described in detail, the mathematical formulas are given.
A practical four-mirror retroreflector subassembly with a common virtual reflection point (thus eliminating the Abbe error), is described.
The effect of using this, rather than the more natural halting criterion based on the error is described in Table 2.
First a simple practical procedure for approximating a stationary Gaussian process over a finite interval by a trigonometric polynomial with predetermined error is described.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com