Sentence examples for tolerance of variance from inspiring English sources
The phrase "tolerance of variance" is correct and usable in written English.
It can be used in contexts related to quality control, statistics, or any field where variations from a standard are acceptable. Example: "In our manufacturing process, we maintain a tolerance of variance to ensure that products meet quality standards while allowing for minor discrepancies."
This issue is affected by multiple factors, including sufficient coverage depths for genome assemblies, characteristics of genome assemblers (e.g., tolerance of variance in coverage depths), and characteristics of datasets and genomes (e.g., read biases and genomic structures that affect assemblies will make the subset selection harder).
Tolerance represents the amount of variance of one formative indicator not explained by other indicators in the same construct.
All predictor variables included in the combined models were checked for collinearity in a correlation matrix and through assessment of tolerance and variance inflation factor (VIF) values.
These data, together with previous reports investigating the effect of modulating protein levels of key clock components (Hirata et al., 2004; Kim et al., 2011), indicate that there is a tolerance window for the degree of variance in levels of positive and negative input which will still allow for oscillatory gene expression.
An assessment of the tolerance and variance inflation factor was performed to ensure there were no issues of potential multicollinearity.
First, we assessed the collinearity of AEA construct by testing the value of tolerance or VIF (variance inflation factor = 1/tolerance).
To test for collinearity between the covariates of the final multivariable model, the tolerance and variance inflation factor (VIF) of each covariate was calculated.
Insulin tolerance testing results were assessed by analysis of variance (ANOVA) with repeated measures using SPSS 17.0 (SPSS Inc., Chicago, IL).
Therefore, additional indicators such as the tolerance of the variables and the variance inflation factor (VIF) are presented in table 4. The tolerance value shows the extent to which the independent variable in the corresponding line is predictable by other variables included in the model or whether it correlates with them.
These correlations did not result in multicollinearity since the tolerance (variance of OC not explained by other predictors) was at least 53%.
Note: Tolerance is 1 – R, the complement of the proportion of variance explained in a multiple linear regression predicting the cue from all the other cues.
