Jun 28, 2015 at 2:04 PM
Edited Jun 28, 2015 at 2:07 PM

Hello,
i am working on a statistical project using math.net.numerics. i would like to implement the boxcoxtransform (also called powertranform) to transform data of a specified distribution (e.g exponential) to a more normallike distribution.
To find the best transformation paramter "lambda", i would maximize the loglikelihood function.
To see if its realy normal distributed data after the transform, i would calculate the confidence interval (e.g 95%) and if all the transformed data lies between the interval boundary, it is normal distributed data (at the moment i am using a normplot).
Is someone working on such a problem?
I have been using math.net for a while now and thougt maybe it is a functionality that would fit into the project.
it is my first time i want to support a open source project, so i hope this is the right place and way to start.



Hi,
This would certainly be a welcome addition, and part of one of the focus areas we'd like to become stronger in. I'm not aware of anyone specifically working on this though, but I can help.
Thanks,
Christoph
PS: I'm about to finally replace this codeplex discussion site with
http://discuss.mathdotnet.com/c/numerics  maybe we could move this discussion over there?

