Sentence examples for model where linear from inspiring English sources

At least for the next few years there will be a hybrid model where linear TV channels remain very powerful.

But the adsorption kinetic data fitted best in pseudo-first-order model, where linear plot of 1/t vs 1/q t was obtained.

The adsorption kinetic data fitted best in pseudo-second-order model, where linear plot of t versus t/Q t was obtained.

After insertion of guard interval (GI) the signal is fed to pre-linearized HPA (i.e., the signal is clipped and filtered by a soft-limiter model), where linear amplification is achieved until the saturation output power level P s (normalized by the input signal power).

From a modeling point of view, given that apparent temperature is obtained as linear combination of temperature and square dew point temperature, there is a strong correspondence between a regression model where a linear term for apparent temperature is included and a model where a linear term for air temperature plus a quadratic term for dew point temperature are introduced.

Furthermore, the hardness data were analysed in terms of geometrically necessary dislocations using the Nix Gao model, where a linear relationship was found for H2 vs. 1/hc, but with different slopes for large and shallow indentations.

The linear predictor was modelled by covariates xk and fixed effects β: This extends naturally to the multilevel framework, where we adopted the random effects model: where the linear predictor now has two components: xkβ are the fixed effects and zkb described the multilevel structure in the data.

The second column in Table  2 shows results for the simplified linear probability model where mortality is linear in time.

(2011) introduced a model where the two linear parts are bridged by a third-degree polynomial which induces a smooth transition between the parts.

The first model was a simple model where a general linear model (GLM), containing only the SNP tested as a fixed effect, was used to test the association between the SNP and the disease assessment criteria.

Calibration slope is the slope term in a logistic regression model where the estimated linear predictor (the inverse logit function of the predicted probability, also known as risk score and predicted log-odds) is regressed on the binary outcome.