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This can result in "over-fitting", with too many parameters fit to too little data.
There is little chance for over fitting, because the number of parameters fit (16 23) for each chip is literally 3 4 orders of magnitude lower than the number of observations for each chip (80,428 - 231,776) (Table 2).
Those parameters fit my requirements.
It provides stack-enabled (i.e. vectorized) versions of the key Sherpa commands used to load data, set source models, get and set parameters, fit, and plot.
Using only these parameters, fit to linear alkanes, the vapour pressure of a branched alkane is predicted accurately.
The model includes the relevant primary parameters, fit the data well and is sufficiently accurate for engineering purposes.
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Two other parameters, fitting parameter alpha and residual saturation, have minor effects.
Without any additional parameters fitting, the prediction from MBSM agrees excellently with the MD simulation results.
ANOVA for RSM parameters fitted to second-order polynomial equations.
It is not surprise, then, that the function with more parameters fits the data better.
Variance was estimated with the "blind" method and the additional parameters "fit-only" and "local" were employed for sharingMode and fitType, respectively.
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