Hi, Kim, if take time t as x, temperature T as y, your model function looks like:
y=t1+(x0/(1-exp(-c+b*x))-1)/a;
However, your constraint conditions are not enough for getting unique results:
Results 1:
Root of Mean Square Error (RMSE): 2.52934677609146
Sum of Squared Residual: 140.747092501933
Correlation Coef. (R): 0.999963269065018
R-Square: 0.999926539479198
Adjusted R-Square: 0.999918806792798
Determination Coef. (DC): 0.999926539479198
Chi-Square: 0.655121289041804
F-Statistic: 57849.9544626346
Parameter Best Estimate
---------- -------------
x0 0.693513613034404
a -0.000281616005220676
t1 1004.82691662351
c 1.17804643673168
b 0.000241938254130124
results 2:
Root of Mean Square Error (RMSE): 2.52934677609147
Sum of Squared Residual: 140.747092501935
Correlation Coef. (R): 0.999963269065018
R-Square: 0.999926539479198
Adjusted R-Square: 0.999918806792798
Determination Coef. (DC): 0.999926539479198
Chi-Square: 0.655121252952012
F-Statistic: 57849.9546119436
Parameter Best Estimate
---------- -------------
x0 0.760684251933242
a -0.000308892144387651
t1 1318.38503693851
c 1.17804624141689
b 0.000241938218639866
Best Answer