Sentence examples for fitting variables from inspiring English sources

At a mean chamber pressure of 1.39 MPa evaluated mean particle diameters increased by a factor of two for probe delays between 5 and 16 ms after start of injection irrespective of the choices of first-guess fitting variables, indicating a certain robustness of data analysis procedure.

The best fitting variables, in terms of AIC, were presence/absence of cattle and sheep.

The IHF binding site size (n = 8), duplex length (N = 27), and [DNA] were held constant while Kns, Ksp, υns, and ω were fitting variables that were allowed to float to their best values.

λmax was plotted as a function of peptide concentration; the data were analyzed according to eq 3, except that the value of λmax for the hexamer and monomer were the fitting variables.

For the binding of Rox-DprC to mC1, KD is 3.8 ± 0.5 μM the value was obtained by fitting the titration data with the equation: ΔmP = ΔmPmax × [P]/([P] + KD), where ΔmP is the polarization change of Rox-DprC, [P] is the concentration of protein, and both KD and ΔmPmax are the fitting variables.

An added advantage of these OU model fitting approaches is that they allow proper multivariate models rather than fitting variables one at a time [ 55].

The vessel identification number incorporated most vessel characteristics, leaving vessel speed primarily as a fitting variable with less biological meaning.

The best fitting variable in the second analysis, which considered the entire population at the meshblock level, was the presence of beef cattle in the meshblock.

For example, if all input indicators are continuous variables, the principal component is a construct that is the least square common factor for the best fitting variable that would be "explained" by the set of indicators.

The test statistic for diversification rate constancy ΔAICRC is calculated as ΔAICRC = AICRC - AICRv, where AICRc is the AIC score for the best fitting rate-constant diversification model, and AICRv is the AIC for the best fitting variable-rate diversification model.

There were two lists of model-selected variables derived from DF, one used in fitting (the fitting-variable list; Table 1) and the other used by at least one of the models in the 2,000-L10O process (the L10O-variable list).