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(ii) We specify and estimate an entirely generic model, which can be used to predict the market shares of hitherto non-existent vehicle model variants with certain characteristics.
One notes that for model variants with a very low market share, some of the predicted values are widely off the mark.
The original model grid with 80,000 finite elements was complemented with two other model variants with approximately 16,000 and 10,000 elements, respectively.
Since the model was intended to predict the market share of potential future car model variants with known or assumed attributes, care was taken to specify the model as a generic one.
Since the model is supposed to predict the market share of potential new car model variants with known or assumed attributes, care was taken to specify the model as a generic one.
The model validation and evaluation involve a comparison of the results of the GFMAPR model variants with those of the mentioned models on their application to some industrial accidents data using the out-of-sample forecasting approach previously discussed.
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The model does not predict automobile sales at the level of the individual vehicle model variant with any degree of precision.
A vehicle model variant with five seats rather than four or less seats has an added value to the consumer of NOK 46,500.
The original model variant with constant bounds and a changing variance led to qualitatively comparable results.
Similarly, the model variant with deficiency of NF-κB enters a cyclic attractor as well (not shown).
We obtained about ten solutions for each model variant with the objective function for proteins close to the value 350000 reported for Model 1.
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