Sentence examples for empty variance from inspiring English sources

The results from a taxonomy of models starting with the null or empty variance component model and adding individual, school, neighborhood, and region variables are shown in Table 3.

Firstly, we fitted an empty variance components model examining the amount of variation in the probability of poor/normal SRH that could be attributed to the individual and neighbourhood levels of analysis.

Tables  3 and 4 present the results of fitting the empty and final variance component models for females and males separately.

The mean ratios of the pulse rates determined from the radar signal and electrocardiography and respiration reference signals were 110% (respiration) and 99% (heartbeat), and the mean occupied and empty room radar signal variance ratios were 608 (breathing) and 20 (breath-hold).

A common way of specifying multilevel models is to build them in a sequential manner [ 13], starting with a non-conditional (empty) model to partition variance across levels and assess its statistical significance [ 25].

We started with the empty model to obtain the variance components disregarding performance improvement and then added assessment moment to obtain the variance components taking performance improvement into account.

We tested thereafter both corrections in phenotypic models identical to models (2) and (3) but without the marker effect, and compared the resulting residual variance with the "empty" model: trait  =  error.

In the two level random intercept logistic model with no explanatory variables (empty model) the between GP variance was 9% (SE 0.004).

When workplace variance is high (empty model, item 4 MOR = 4.21, ICC = 41%%), the probability of adherence to guidelines varies remarkably (probability 0.1 0.8) between different workplaces.

Initially we fitted a baseline variance component or empty multilevel model (no independent variables) for each of the dependent variables, followed by the multilevel model with independent variables.

For example, for antenatal care, the state-level variance in the empty model is large and significant pointing to considerable differences in use across states.