Abstract:A methodology is proposed to aid parameter estimation in fundamental
models of pharmaceutical processes. This methodology addresses
situations with insufficient data to reliably estimate all parameters,
when the estimation is complicated by uncertain independent variables.
The proposed method uses an augmented sensitivity matrix to rank the
combined set of parameters and uncertain inputs from most estimable to
least estimable. An updated mean-squared-error criterion is then used to
determine the appropriate pa… Show more
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