12-17-2008 06:43 PM
Solved! Go to Solution.
12-17-2008 09:06 PM
Use "Nonlinear Curve Fit" from the "mathematics..fitting" palette.
Create a model function VI that calculates the distribution for a given set of parameters according to the template. Check the online help for details.
12-18-2008 02:06 AM - edited 12-18-2008 02:06 AM
Here's a quick draft (LabVIEW 8.5). Seems to work pretty well given reasonable initial estimates.
12-19-2008 04:07 PM
12-19-2008 11:40 PM
Hello Mr. Brogle,
Hope you are fine.
Please mark altenbach's post as solution to your problem. You can unmark a solution by clicking on the options menu at the top right corner of your post and mark altenbach's post as solution. Hope i understand why i am telling this to you.
Thanks,
Mathan
06-24-2015 06:40 AM
Hello,
I have a followup question to this very old topic. In your example the parameters of the weibull distribution are estimated via a Levenberg-Marquardt algorithm which tries to minimize the sum of least squares.
However usually most ststistics programs use the maximum likelihood method to estimate the parameters of the distribution (see e.g. https://en.wikipedia.org/wiki/Maximum_likelihood)
Is there any package available which can estimates the parameters using this method?
06-25-2015 05:00 PM
Hi there,
There isn't a probability toolkit available for LabVIEW. For that you have to programmatically do it .
regards