Sentence examples for effective degree models from inspiring English sources

We note that effective degree models can generate very good agreement with stochastic simulation (Ball and Neal 2008; Lindquist et al. 2011) as do the PGF or edge-based compartmental modelling methods (Miller et al. 2012; Miller and Volz 2012; Volz 2008), although exact correspondence has not been proven here.

The cumulative explaining variance indicates the cumulative effective degree of the common factor to the measurement table or model.

Effective degree of freedom (maximum 10) for the dietary calcium was automatically selected and applied to semi parametric models by mgcv package of R version 3.0.2 (R foundation for Statistical Computing, Vienna, Austria).

2VCs on... are university degree models stuck in the past?

The -axis represents the effective degree and -axis denotes the corresponding percentage of the received symbols which have effective degrees less than or equal to this degree.

In Supplementary Appendix B, we discuss tr(H) and as definitions of effective degrees of freedom for the model and for variance, respectively.

To quantify the model fit we used the Generalized Cross Validation (GCV) [ 16] score, a measure of goodness of fit that takes into account the effective degrees of freedom of the model.

In many hybrid simulations, including those that have used UI-SimCor, analytical models with few effective degrees of freedom are typically used.

In each case, the models are introduced first, and the statistical comparisons described secondly in terms of Bayesian model evidence, DIC, effective degrees of freedom, and the maximum likelihood value from the MCMC chains.

For the MMSE, the penalization reduced the effective degrees of freedom for the amyloid-β1 42 model to 6.3 degrees of freedom, the Structuramyloid-β1 42y Index model to 9.2 degrees of freedom, the t-tau model to 7.3 degrees of freedom and the white matter hyperintensity model to 6.3 degrees of freedom.

For purely pragmatic reasons of convenience one might still accept the model with formally fewer parameters even though it has the same model evidence and same effective degrees of freedom as a more complex one.