Sentence examples for models with unbalanced from inspiring English sources

Models with unbalanced data (i.e., varying numbers of repeated measurements on each subject) typically yield accurate estimates of within-subject variation, provided a sufficient number of repeated measurements contribute to the estimate.

Open image in new window Fig. 6 Step-by-step detailed process to obtain impedance model with unbalanced grid voltage by harmonic linearization.

Constructing regression models with an unbalanced dataset can result in poor model fit, inaccuracy in predicting the less prevalent class, and may even impede the convergence of the numeric maximum likelihood estimation algorithms.

The difference decreases when the diameter increases, and we can see that under random tree models with very unbalanced edge lengths, the difference between our result and the optimal result are much smaller than that of the uniform distributed tree model.

Random effect (RE) panel probit models were only with unbalanced panels, with the potential problem of attrition bias, and as a consequence selection bias in the estimates can occur.

Using instrumental variables we estimate a wage-sharing model with an unbalanced firm-level panel data covering the period 1997 2004.

In this study, we consider balanced genetic heterogeneity models with γ1=γ2=0.5 and unbalanced genetic heterogeneity models with γ1=0.7 and γ2=0.3.

The count scale in Figure 6A is logarithmic, so the number of positive predictions in the area of overestimation is usually small for unbalanced models with acceptable performance statistics.

To test whether bees had learnt the odorants in a similar way (efficiency of learning), General Linear Model Analysis of Variance (GLM ANOVA) was used, which allows testing of unbalanced models with unequal cell frequencies.

Neither homoscedasticity nor normality nor balanced group sizes are assumed, thus allowing for multiple comparisons in balanced and unbalanced models with arbitrary error distribution and hence arbitrary data distribution and variance structure.

This paper focuses on a tuning-less model predictive control (MPC) strategy with unbalanced fault-ride-through capability for a three-phase modular multilevel converter (MMC).