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For single fit statistics, commonly used comparisons are often: which model has a smaller average size of regression errors, and which model explains more of the dependent data variance. For average magnitude of regression error, the RMSE (Root Mean Square Error) is usually used. While it seems simpler to take the mean (average) size of the absolute value ...


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Not sure if I fully understood the question, but based on my reading you seem to be looking for a way to test if device has a systematic effect. Your proposed way of doing it seems to be assuming that devices only differ in their mean bias. So, since your models are nested (one of them contains all the terms of another), you can use an F test to check if ...


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