Sentence examples for different numbers of variables from inspiring English sources

The results for models with different numbers of variables (shape PCs) show how sensitive the methods are to the number of parameters being estimated.

Fitting multivariate models with different numbers of variables allowed for some insight into the sensitivity of results to model degrees of freedom.

Frailty indices demonstrate similar characteristics across diverse samples and settings, even when they employ different variables or different numbers of variables [ 1].

Because it is expected that the result substantially depends on the number of selected variables, the analysis is repeated for different numbers of variables: 5, 10, 20 and half of the total number p of variables.

The focus is on cases where two or more data sources have been measured from each biological sample (paired samples), but no a priori known matching of the variables in different sources needs to be assumed and sources can have different numbers of variables.

First, I studied the procedures' power and Type I error through computer simulations that considered covariance matrices differing in shape, orientation or both, in different number of variables and sample size situations.

In order to acquire the training data for the neural networks (NNs), we conducted experiments for a large number of randomly generated single output Boolean functions (BFs) and derived the simulated graphs for number of min-terms against the BFC for different number of variables.

Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models.

ancova models, controlling for age, sex, race/ethnicity, geographic region, education and duration of diabetes, assessed the variance in MMAS-8 accounted accounted for by the three domain-specific TSQM-II measures and the seven domain-specific DMSRQ-SF scales using the shrunken or adjusted r-squared to compensate for the different number of variables in the two models.

Similarly Dimick et al. [ 20] studied risk adjustment models for surgical procedures and found that predictive models with a different number of variables had a very similar discrimination, good calibration and that hospital specific indicators resulting from parsimonious models were highly correlated [ 20].

Because different areas may have different numbers of significant variables, the selection of variables also involves choosing balanced proportions of variables from the different units or regions.