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Below is an extended comment showing the effects that can happen when one ignores the correlations among parameter estimators (either on purpose or because journal authors or editors don't know enough about statistics to include necessary information). First I create some data with the same curve form as the function CDDHybrid and a set of predictor values ...


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Introduction The first thing that I noticed is that the functional form for all of your CDD and LHS functions are identical. I propose that rather than defining six functions for each, we define one function and change the input arguments to cover the various cases. cdd[s_, a_, b_, c_] := 10^(a + b*c - b*s)*Exp[-10^(s - c)] lhs[s_?NumericQ, a_?NumericQ, ...



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