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The formulation of performance indices is discussed for control problems typical of the chemical process industry.
We present an exact formulation of performance metrics for the resubstitution and leave-one-out CoD estimators, assuming the discrete histogram rule.
Furthermore, our dashcard-based development process instilled a consistent information architecture in the definition of performance indicators across all of NIHR's activities, the net effect of which was to allow the rapid formulation of performance dashboards at any organisational level that might be required.
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This research illustrates the potential value of using rhetorical formulations of performance aims as a means to engender useful understanding on the properties of IT use or organizational design in emergent contexts.
The analytical formulation of such performance metric under frequency-selective fading channel scenarios is efficiently obtained resorting to the link performance prediction (LPP) method known as effective signal-to-noise ratio mapping (ESM) [30] and, specifically, exploiting the ESM technique proposed in [31].
Next, detailed formulation of the performance metamodel is carried out.
This paper describes the formulation of practical performance design for determining various encoder parameters.
Section 4 introduces performance metrics (i.e., bias, deviation variance, RMS) of a CoD estimator, and Section 5 presents an analytical formulation of exact performance metrics of the resubstitution and leave-one-out CoD estimators.
Non-randomized CoD estimators, such as the resubstitution and leave-one-out CoD estimators, are deterministic functions of the sample data, which makes it possible an analytical formulation of their performance metrics.
Silica fume (SF) named MEDAPLAST HP from the Granitex Company (Algeria), containing 94%% SiO2, it is a pozzolanic addition with gray color, used in the formulation of high performance concrete (HPC).
A meaningful formulation of these performance criteria for petroleum systems is difficult because of (i) the high chemical exergy of hydrocarbons, (ii) the large variety of chemical components, and (iii) the differences in operating conditions between facilities.
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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