Sentence examples for homogeneity errors from inspiring English sources

The sensitivity homogeneity errors among the three induction coils are 1.0, 1.2, and 1.3%, and the phase mean square deviations are 2.1, 2.5, and 2.3% Fig. 8 Self-noise level of the induction coil.

The sample dish was placed in the center of the vertical axis of the coil pairs, where a homogeneity error of the field <3% could be reached across the area of optical detection of about 20 cm.

Tests of autocorrelation and homogeneity of errors determined that the errors were heteroscedastic but autocorrelation was not an issue.

For the purified toxin bioassay, comparisons were conducted for each protein with the control using Dunnett test wherever possible, i.e. when the assumptions of parametric test (normal distribution of residues and homogeneity of error variances) were met (total fecundity, fertility and adult dry weight).

The homogeneity of error variances over locations were tested using Bartlett's Chi-square test.

Primary assumptions of parametric testing were fulfilled (Gaussian distribution, homogeneity of (error) variances).

Homogeneity of error variances was checked by plotting residuals against predicted values.

For example, normality assumptions and assumptions about variance homogeneity of error terms may be checked from ordinary residual plots, while the linearity of covariate effects can be checked by testing the significance of higher order terms and interaction terms.

Preliminary screening indicated that total male color intensity scores satisfied parametric assumptions of normality [1-sample Kolmogorov Smirnov test (ControlH2O: Z = 0.71, P = 0.71; Controlsolvent: Z = 0.65, P = 0.80; BPA: Z = 0.74, P = 0.65)] and homogeneity of error variance (Levene's test: F2,56 = 0.36, P = 0.70).

Will the goal of simplicity in structure and homogeneity in error for transformation be still achievable if predictor variables are omitted from the power transformation model? 2. What are the consequences of conducting the analysis of variance on the transformed response variable without including the predictor variables in estimating the transformation parameter ?

This homogeneity minimizes the errors in GRN reconstruction due to superpositions of possibly different GRNs.