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Tables 2 and 3 show that for both measures of outcome, model composition was influenced by missing data (CCA vs. MI-5).
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In this context, model composition is assumed to take one or more models as its input and integrated output model.
As frequently described, model size and model composition are also affected by missing data.
In this section, a brief introduction about the components and model composition is given as follows.
In the pet dog ownership model, household composition was the independent variable.
Nevertheless, based on the achieved mathematical model, culture medium composition was developed that confirmed the usability of this model for description of the analyzed process of succinic acid production in relation to the composition of the applied fermentation medium.
The genetic model for FG composition was hypothesized based on the HPLC chromatogram of the parents and the RILs, and the chemical structure of the pertinent peaks.
The model for composition is useful for predicting glucan, xylan, lignin, and ash with good uncertainties.
The model fit of the composition was assessed using different approaches.
Milk composition was modeled as a function of explanatory variables in mixed linear regression models using the PROC MIXED tool from SAS, version 9.2 (SAS Institute Inc., Cary, NC, USA).
In addition, the pore water composition was modelled with a geochemical software.
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