Sentence examples for model specifications a from inspiring English sources

We consider three model specifications: (a) pooled, (b) fixed effects, and (c) free.

We assessed the shape of the ozone mortality concentration response relationship using three alternative model specifications: a) linear, b) linear-threshold with the threshold chosen to maximize the likelihood function, and c) natural cubic splines constructed using five equally spaced knots determined from the combined concentrations of ozone in the five urban areas and in the five rural areas.

For each strategy there are two model specifications, a baseline model (column 1 for OLS and column 3 for fixed effects, FE) that contains individual background variables including educational attainment and a second model (column 2 for OLS and column 4 for FE) that adds health variables.

The time dummy variable (TDV) method fits the hedonic regression to the whole sample, adding to the model specification a set of time dummies.

Despite the technical challenges and gaps in data for model specification, an increasing number of multiscale modeling studies have taken on key questions in plasticity.

Since the estimates for maximum temperature were similar across the model specifications, model A with the complete sample of observations was used to calculate MSA-specific odds ratios.> -wrap-foot> Maximum daily temperature, maximum daily heat index and SSC correspond to day of ED visit (day0).

The results are robust to many different model specifications, including a variety of functional forms, covariates, and data.

The results for the outpatient access models are less consistent, with some model specifications indicating a reduction in access associated with opt-out status, while other model specifications suggesting no discernable change in access.

Both model specifications show a positive and significant relationship between health insurance and the age of women, and the intensity of antenatal care visits.

The coefficients of determination for our regression models indicate that the model specifications leave a large part of the variance unexplained.

These guidelines should not be overgeneralised; instead, fit indices should be used to identify differences in model specifications conducting a comparison of nested models as realised in the present study [ 76].