Timeline for Detecting initial trend or outliers
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 17, 2012 at 10:37 | comment | added | Toby Kelsey | They are different systems. Although they are similar they all differ significantly and I can't assume any parameters are the same between them. | |
| Oct 15, 2012 at 16:23 | comment | added | whuber♦ | What, if anything, is common to each of the 15 or so runs? E.g., are they all measuring the same system? If not, are there some parameters you expect to remain the same between runs? I think it might be possible to "borrow strength" for outlier detection by suitably combining all data into one dataset, rather than viewing it as 15 separate datasets, and thereby overcome the pessimistic views expressed in comments elsewhere in this thread. | |
| Oct 3, 2012 at 7:18 | vote | accept | Toby Kelsey | ||
| Oct 2, 2012 at 9:18 | history | edited | Toby Kelsey | CC BY-SA 3.0 |
minor edit
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| Oct 2, 2012 at 8:45 | history | edited | Toby Kelsey | CC BY-SA 3.0 |
more details about hte processs
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| Oct 1, 2012 at 18:31 | answer | added | Michael R. Chernick | timeline score: 3 | |
| Oct 1, 2012 at 17:08 | answer | added | IrishStat | timeline score: 0 | |
| Oct 1, 2012 at 13:48 | review | First posts | |||
| Oct 1, 2012 at 14:20 | |||||
| Oct 1, 2012 at 13:43 | history | asked | Toby Kelsey | CC BY-SA 3.0 |