| Author |
Comment/Response |
Nathan
|
 07/09/04 6:36pm
I have this problem when using NonlinearFit with the following model and data:
data = {{50, 3225.0567}, {100, 6108.877}, {150, 8531.3910}, {200, 10708.2915}, {250, 12556.8653}, {300, 14154.2851}, {350, 15422.3550`}, {400, 16834.3916}, {450, 17906.3075}, {500, 18767.5784}, {550, 19418.7275}, {600, 20223.4710}, {650, 20955.6299}, {700, 21396.0879}};
NonlinearRegress[data, 17970*(ku/kd)*(1 - \[ExponentialE]^(-kd*x)), {x}, {ku, kd}]
this code returns a warning:
NonlinearRegress::"rank": "Warning: Parameter solution locus has \
dimensionality of only 1 at the parameter estimate, less than full \
dimensionality 2. Confidence region curvature given by \
1/Sqrt[Quantile[FRatioDistribution[1, 12], 0.95`]]"
and procedes to give me terribly bad estimates
BestFitParameters -> {ku -> 328.405, kd -> 400.601},
where, actually, ku=.00386 and kd=.00287
I'm not sure what's the matter here. SAS will do this nonlinear fit just fine (estimating .00388,.00280) but I'd like to do it in Mathematica because they rest of my project is in Mathematica. Anybody knows what the problem is here?
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