fareb
Newbie level 5
Hi everyone
I have 100 sets of experimental data. the data in each set is time based, it means for each time point i have a value. I fit a curve to this time based data. this curve has some variable parameter that can change to fit a suitable curve to each set of data.
I want to use maximum likelihood to find these parameters. I assume a normal distribution for each set and now I have some questions to continue my matlab code:
1- what I should consider for mean and variance of normal distribution?
2- How I can derivative of PDF related to my variable parameters?
3- and how I should generalize MLE algorithm for my time based data?
I am not good in MLE and I would be so grateful if one can help me to fix it. I should provide a code for it very soon.
Thanks in advance.
I have 100 sets of experimental data. the data in each set is time based, it means for each time point i have a value. I fit a curve to this time based data. this curve has some variable parameter that can change to fit a suitable curve to each set of data.
I want to use maximum likelihood to find these parameters. I assume a normal distribution for each set and now I have some questions to continue my matlab code:
1- what I should consider for mean and variance of normal distribution?
2- How I can derivative of PDF related to my variable parameters?
3- and how I should generalize MLE algorithm for my time based data?
I am not good in MLE and I would be so grateful if one can help me to fix it. I should provide a code for it very soon.
Thanks in advance.