Dear all,
I try to do error estimation and found one of my fitting model always return an extremely huge stderr on the best-fit parameter.
Here below is an example:
[[Fit Statistics]]
# fitting method = leastsq
# function evals = 11
# data points = 1000
# variables = 2
chi-square = 4.42114655
reduced chi-square = 0.00443001
Akaike info crit = -5417.35622
Bayesian info crit = -5407.54071
[[Variables]]
age: 13.0175324 +/- 3.5188e+10 (270309998184.24%) (init = 14)
tau_tau: 10.00000000 +/- 0.80777338 (8.08%) (init = 10)
[[Correlations]] (unreported correlations are < 0.100)
C(age, tau_tau) = +0.1307
The variable "age" is what I am very concerning about. I give the fitting range [0,14], and the best-fit value is very well expected. However, the uncertainty on this parameter goes way too huge that I cannot interpret.
Thanks a lot for your help!