Sentence examples for indicator for model from inspiring English sources

Akaike Information Criteria (AIC) will be used as an indicator for model fit.

We can then apply a categorical regression to estimate P(X = x1|S = s'), where x = 1, 2,..., m is the indicator for model Mx and s' is the vector of the summary statistics that summarize our observed data.

The pattern of curves from cumulative proportion of genetic variance explained by top SNPs and the element wise standard deviation between G and T matrices might be a good diagnostic indicator for model selection.

Analysis of the rmsd proved to be a poor indicator for model quality (see Table 2) as the correlation coefficients between experimental and predicted ln EC50 values are typically smaller than 0.5 (see Figure 7).

Log likelihood values are included in the tables as indicators for model specification following Greene (2000) and Borooah (2002).

The programs can output the indicators for allelic models, additive models, dominant models and recessive models under various conditions.

For example, in Lee et al., study [ 4], sensitivity, specificity, and negative predictive values were over 90%, but the positive predictive value was around 70%.Similar with previous studies, current study found that the positive predictive value was lower than the other indicators, except for model 1.

This could be an indicator of model misspecification (for example, missing covariates or interactions, outliers or non‐linear effects of covariates put in the model as linear terms) or evidence that real overdispersion exists (for example, the variability around the fitted values really is larger than expected under a Poisson regression and caused by clustering of observations).

Eleven of the 14 research groups used maternal education as the indicator of SES for model 1 (Table 1).

Also included in regressions are five regions of residence indicators and, for models two to five, 47 immigrant country of birth dichotomous variables.

Sometimes, participatory approach may be combined with quantitative indicators, for example in participatory modelling local actors identify the most relevant issues related to their vulnerability to climate change to be considered as input variables to contextualize the generalized model (Asare-Kyei et al. 2015).