Sentence examples for model coefficients we from inspiring English sources
To ensure the consistency of the data, before predicting the CAPM model coefficients, we still use the historical quarterly data in DataStream as sample data although the calculation method will slightly differ.
Finally, to assess the possible influence of sample bias on the results, as well as to investigate the stability of the model coefficients, we performed a bias-corrected and accelerated (BCa) bootstrap resampling procedure.
The resulting feature vectors of all sequences were normalized to Euclidean unit length.> -wrap-foot> For the estimation of the regression model coefficients, we performed a regularized least-squares ('rigde') regression (Hoerl and Kennard, 1970).
Using our "main effects" model coefficients, we estimate that a one standard deviation increase in OHL (5.3 REALD-30 units) corresponds to a 9% decrease in OHIP-14 severity [PRR (95% CL) = 0.91 (0.98, 0.98)], whereas (using race-specific estimates from Table 3) this decrease is more pronounced (14%) among AA [PRR (95% CL) = 0.86 (0.96, 0.96)].
Using these models' coefficients, we set the influenza indicator to 0 for all observations and estimated the predicted baseline weekly MAARI rates, that is, the rates that would be expected in the absence of influenza activity.[37], [38] Excess MAARI was calculated as the difference between observed MAARI weekly rates and the baseline predicted rates during influenza seasons.
In order to allow comparison among the models' coefficients, we present here the rescaled coefficients for the three final DC models.
Often we will be concerned with differences between a candidate model i whose coefficients we denote by and and some other reference model (labelled j) whose coefficients will be denoted by and.
To assess the influence of a multiple-pollutant model on first-stage coefficients, we also ran the first stage as a case-crossover analysis using models with single pollutants plus ozone (as opposed to multiple pollutants).
Next to model coefficients and ΔAICc values, we report the marginal R2 (the variance explained by the fixed factors; calculated after Nakagawa and Schielzeth (2013) for all candidate models.
To compare alternative models, we used a cross-validation approach in which we fit model coefficients on half the data set (training set) and assessed model predictions against the other unseen half (test data set) to estimate a cross-validated R (Experimental Procedures).
In order to evaluate the average behavior of our transmission strategies for different realizations of the channel coefficients, we will model the entries of Ht,h11,H12 ,h21 and H22 as samples from independent circularly symmetric Gaussian processes with zero mean with appropriate variances.
