Hi again acer :)
It looks like you summed the squares of the differences (between the data points & fitted values) and used Minimize() to find the minmum in that big mess in a range of Zc's. It's not the sort-of out-of-the-box routine that I was hoping for but it got the job done so that's great. However, I'm now trying to introduce uncertainties into the data points (attached: mapehelp2.mw) and find the corresponding uncertainty in the fitted parameters (Zc specifically). I was hoping Maple would have an easy solution to doing this without requiring the user to have in depth knowledge regression analysis. What's your advice on moving forward with uncertainties:
- Is there a "pre-packaged" Maple routine that can do this for me or will I have to write my own (with minimize() perhaps)?
- If Minimize() is the solution for me there a more thorough tutorial than the "?Minimize" help page for me to learn it's usage?
Thanks for reading and thanks so much for the feedback!