Timeline for Choosing variables for Discriminant Analysis
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 15, 2011 at 16:07 | vote | accept | Beta | ||
| Aug 15, 2011 at 4:38 | history | tweeted | twitter.com/#!/StackStats/status/102962347483725824 | ||
| Aug 14, 2011 at 14:38 | answer | added | Peter Flom | timeline score: 5 | |
| Aug 14, 2011 at 14:27 | history | edited | chl | CC BY-SA 3.0 |
deleted 16 characters in body; edited tags
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| Aug 13, 2011 at 8:41 | comment | added | ttnphns | Hmm ? Well. What is "important" for you? Points (1) and (2) imply important as predictor. Point (3) imply important as a descriptor of multivariate cloud. These are different concepts. Have you made up your mind on 'importantness"? | |
| Aug 13, 2011 at 7:59 | comment | added | Beta | I don't like stepwise as it may have include some unimportant variables. | |
| Aug 13, 2011 at 7:05 | comment | added | ttnphns | Wonder about (1). Could you comment on your bias? As for suggestion, one possible method is stepwise nominal logistic regression. But you have too many variables to use it, for me. | |
| Aug 13, 2011 at 5:56 | history | asked | Beta | CC BY-SA 3.0 |