Sentence examples for of model specifications from inspiring English sources

Based on the estimated coefficients and intercepts of model specifications in this review study, the percent of crime explained by a specific percent of place (e.g., 5, 10, and 20%) varies across various geographic units, crime types, and measures of crime (see Appendix 3).

Our results are robust to a variety of model specifications, various measures of influential institutional ownership, different propensity matching methods, and different industry definitions.

Using a variety of model specifications, the paper presents mathematical relationships between highway project duration and the magnitude of the planned cost and project type, and contract type.

In several large and heterogeneous samples, under a variety of model specifications, and using various sets of RPWB items, we found very high factor correlations among the dimensions of well-being, especially personal growth, purpose in life, self-acceptance, and environmental mastery.

The study shows that one criterion, Akaike's Information Criterion AICC) with a per-parameter penalty factor of 3 (Ais3), is clearly the best criterion to use across a wide variety of model specifications and data configurations, having the highest success rate and producing very low parameter bias.

Again, the outcomes of model specifications with only the youth minimum wage dummy reveal that young individuals in countries with youth minimum wages generally exhibit better labor market outcomes than those in countries that employ uniform minimum wages.

To enforce reuse and interconnect the process of model specification and system development with models, we promote a model-based approach coupled with a model repository.

In terms of model specification, in this model only direct effects between the parameters have been considered.

17 Note that we cannot include all possible aspects of model specification in our paper since there are too many dimensions and to few observations.

RKHS has been used for spatial smoothing, regression and classification, in which the reproducing kernel (RK) is one of the central elements of model specification.

Furthermore, they demand an investigation of uncertainty related to every derived insight – this includes the aspects of model specification, model fitting, model validation as well as data fusion (Chatfield 1995).