Sentence examples for measure of experimental from inspiring English sources

Note, the standard deviation obtained from analyzing multiple macro-samples does not correspond to the fluctuations exhibited in individual model simulations of the system or fluctuations between model simulations, but rather is a measure of experimental uncertainties (e.g., experimental measurement errors and non-identical systems), which are not taken into consideration by the model simulations.

Among health economics SC studies, the most common measure of experimental design efficiency is D-efficiency [3].

Given that the CV and VMR were obtained using the mean transcript level per experiment, they act as estimates of transcript variation in response to perturbations in development, abiotic stress or natural genetic variation rather then simply a measure of experimental variation.

The concordance between these two averages serves as a measure of experimental fidelity (Lin, 1989).

Because this calculation requires sequencing the samples, often an assay such as quantitative PCR is used as a first-pass surrogate measure of experimental success.

This group of clones was used in each array experiment as an internal measure of experimental noise to help distinguish potentially biologically meaningful deviations from experimental noise, which could vary from one array to another.

We thank Ulrike Panknin for her technical support with the qRT-PCR and monitoring and measuring of experimental water parameters, and Sebastian Fessler for supporting the carbonate system measurements.

The selection of recall period has a strong effect on standardised AIC measures of experimental design fit to the respective datasets.

One of the paradigmatic outcome measures of experimental philosophy is the survey, though others such as functional magnetic resonance imaging (fMRI), physiological measures, and behavioral measures are also in use.

The difficulties we found fell into five categories as listed in Table 1: the experimental subject itself (difficulty I), variables (difficulty II, A F), measures of experimental outcomes (difficulty III), dealing with variability (difficulty IV, A E), and interpreting experimental conclusions (difficulty V, A B).

Statistically significant gains were observed in "experimental system," "independent variable/treatment," "assay," and "quantity measured" components of experimental design (Supplemental Figure S5).