Timeline for How to detect abnormality in an otherwise very systematic and regular time-series data for temperature measurement?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 26, 2015 at 19:34 | history | bounty ended | CommunityBot | ||
| Jul 24, 2015 at 5:54 | comment | added | lovekesh | @gbasin Yes, you are right. seasonality and level shifts is not an issue. | |
| Jul 23, 2015 at 17:19 | comment | added | gbasin | Agreed, but the way the problem was presented makes it sound like seasonality and level shifts are not an issue :) | |
| Jul 23, 2015 at 17:15 | comment | added | IrishStat | What you are suggesting is an outdated out-of-model test which is flawed by the effect of the unincorporated outliers/level shifts/seasonal pulse/local time trends while Intervention Detection is a "probability cut-off" based upon a within-model test that can lead to the emorical identification of not only pulses BUT level shifts/seasonal pulses and local time trends. | |
| Jul 23, 2015 at 17:08 | review | First posts | |||
| Jul 23, 2015 at 17:26 | |||||
| Jul 23, 2015 at 17:04 | history | answered | gbasin | CC BY-SA 3.0 |