Sentence examples for model f test from inspiring English sources

For the best fit of regression model, F test was performed with a 5% probability level.

The model F test assumes that the fractions of missing information of all coefficients are equal (equal FMI) and thus rejects the hypothesis that all coefficients are equal to zero.

Averaged over iterations, the proportion of models with a full model F test that had a p value below 0.05 was at or below the nominal level for all simulations (data not shown).

In fact, detection power, estimated as the proportion of iterations in which the full model F test for the correct model had a p value below 0.05, was often higher in the presence of epistasis in our simulations (Figure 5).

Kinetic modelling by non-linear regression analysis of the inhibition by unlabelled MeAIB of C-MeAIB uptake into primary cytotrophoblast cells (Fig. 1B), revealed that the model of best fit was to a two saturable transporter model (F test, p < 0.05) and this trend was consistent for each of the five individual cytotrophoblast isolates (r ⩾ 0.83).

Based on this model, F-test and modified Akaike information criterion AICc are introduced to test if there is a change of the upstream downstream relationship.

The various combinations of models and regressors were compared in three ways: the model fit residuals, regression model F-tests and the number of activated voxels.

We evaluated how QTL detection power is affected by epistasis by fitting the true model in each simulated dataset and tabulating how often the full model F-test was significant.

However, they did appear to contribute significantly to the IL-6 model (F-test = 0.045).

The RVM (Random variance model) f-test was applied to filter differentially expressed genes for the different situations.

It can be seen that the association of father's occupation with CRP lost significance when ICAM and IL-6 were entered into the model, and that in aggregate early life variables did not add to the goodness of fit of the model (F-test for Model 2 versus a model with only age, sex, ICAM and IL-6 was not significant).