The phrase "ancillary model" is correct and usable in written English.
It can be used in contexts where you are referring to a secondary or supplementary model that supports a primary model or system.
Example: "The research team developed an ancillary model to enhance the accuracy of their main predictive algorithm."
Alternatives: "supplementary model" or "supporting model".
Leading the way in implementing the ancillary model in Asia has been Tiger Airways, based in Singapore.
But while Ryanair's ancillary model and cost-cutting practices have struck a nerve among passengers like Mr. Miró, the airline continues to grow in a challenging economy and recently overtook Iberia as the largest carrier in Spain.
For the continuous-time model, an ancillary model with additional random coefficients was estimated to examine individual differences in response over time (ie, random gain and loss slopes).
Y Combinator helped us focus on our core model and not ancillary models.
Ancillary data alone, could predict forage components, with a higher goodness of fit and predictive capability, than absorption data (Ancillary: Radj2= 0.42 0.74 compared with absorption: Radj2= 0.11 0.51, and lower RMSE values for each nutrient produced by the ancillary models).
But watching one girl pull out of the parking lot with a trucker from Wyoming wearing a wedding ring, and another walk the long road out to the desert at dusk in a latex dress and thigh high boots cooing "Hey sweetie," it seems clear that there is an ancillary business model in operation.
Second, for the primary, secondary, and ancillary outcomes, Model 2 included study condition as predictor and age, ethnicity, school level, gender, and the baseline level of the outcome variable as control variables.
To stabilize θ estimates for a large K, we use an ancillary HMM to model the upper-layer clusters emitting θ.
To account for that, we have performed ancillary analyses with models for HT and non-dipping risks testing HbA1c and duration of diabetes as dichotomous factors.
We also estimated associations between outcomes and average PM2.5 and PM10 concentrations between 1980 and 2000 (referred to as 20-year average exposures) that were estimated in a prior MESA ancillary study using models constructed on AQS data for PM10 and a PM2.5/PM10 ratio (Raghunathan et al. 2006).
So you can ask about the ancillary predictions of that model as opposed to rival models.
