Search found 3 matches
- Thu May 12, 2011 8:58 am
- Forum: Data Manipulation
- Topic: Saving numerical kernel density
- Replies: 7
- Views: 8313
Re: Saving numerical kernel density
Thank you both for your replies. I had indeed tried this, as this is what you had recommended for the previous participant in this thread. The trouble is that when you do this separately for each series, the normal distribution is no longer calibrated to fit the emprical data. If there is no way aro...
- Wed May 11, 2011 3:52 am
- Forum: Data Manipulation
- Topic: Saving numerical kernel density
- Replies: 7
- Views: 8313
Re: Saving numerical kernel density
Sorry to bring this thread up again after all this time, but I am wondering whether there is a way of finding the underlying data for two charts which are superimposed on one another. For example, I am currently trying to draw the kernel distribution for a set of data, and then draw the correspondin...
- Wed Jan 20, 2010 11:26 am
- Forum: Programming
- Topic: Automation of tasks
- Replies: 1
- Views: 3644
Automation of tasks
Hello All, I am trying to write a programme in EViews which will automate the procedure to detect, then remove, the presence of serial correlation in a time series. Specifically, I need to automate the following tasks: 1. The user enters a table of data, with each column containing a different time ...
