Estimation and Calibration parameter values

[Marx]

Dear SAS experts,

I would like to know what is difference between estimation and calibration.

For example, for nonlinear regression model, we use data to estimate parameter values. 

proc NLIN data=China_Q;

parms alpha=0.01 rho=0.01  beta1=0.01  beta2=0.01  beta3=0.01;

bounds alpha rho beta1 beta2 beta3 >= 0;

restrict beta1+beta2+beta3 = 0;

model Q = log (alpha) + rho*T + beta1*K + beta2*L + beta3*E;

run;

In this case, this code is for estimation of parameter values in the nonlinear regressions model. 

If I want to calibrate parameter values for this model, then I would like to know how to calibrate parameter values.

If you have any references/examples to explain the difference between estimation and calibration, please share them with me. 

Thank you very much in advance.

Sincerely yours,

J1

[PGStats]

Check

https://en.wikipedia.org/wiki/Calibration_(statistics)