Sentence examples for the model predictor from inspiring English sources

To derive the latent variable representation, let L t) be the latent variable and { β k } be the thresholds such that Assume that L t) is modeled as where M t) is the model predictor, ɛ ~ N 0, σ) follows the standard normal distribution, and σ is the error SD.

The variance of the model predictor, obtained after plugging in the parameter estimate in the model, is thus given by λ m ( x ) = Var ( h ( c m ( x ), θ ^ ( x ) ) ) = σ 2 ( 1, c m ( x ) ) R ( x ) ( 1, c m ( x ) ) T. (7d).

This can be partially explained by their large variance in the model predictor.

In typical applications, the model predictor M t) is assumed to be the same for all k.

Compared with conventional linear quantile regression (Koenker 2005), the novel approach of additive quantile mixed models (AQMMs) offers additional flexibility in the model predictor.

Considering that residuals in a SEM account for the sum of the effects of the parents of each trait that are not included in the model predictor, the consequence of the causal sufficiency assumption is the absence of sources of residual covariance among traits, i.e. residual covariance matrices must be diagonal [ 3].

Wall to floor ratio and the number of basements were identified as the model predictors with a model fit of 48.1% (R2).

The model predictors were related to (i) the distance separating the patches, (ii) the characteristics of the landscape between the patches and (iii) the characteristics of the departure and arrival patches, including the number of individuals marked in each patch.

Table 1 shows average induction times for each of the model predictors at average dose rates.

Coefficients for the model predictors are fitted to data from hybridizations to targets with known genome sequences.

None of the models predictor variables (patient demographics, frailty syndromes, previous service use) demonstrated unacceptable collinearity (1.1 2.8) (table 3).