Timeline for ARIMA model coefficients from discontinuous data series
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Jul 26, 2020 at 2:51 | comment | added | mark leeds | Notte that, even though I suggested not including it, WIll Gu ( and others I'm sure also ) makes a good point. Whether to include the night data or not probably depends on your model. If you think that the morning predictions are related to last night's activity, then you should include it. In my case, I don't, but everyone is doing something different. | |
| Jul 26, 2020 at 2:47 | comment | added | mark leeds | Don't include nightly data and, when you do the estimation in R, break the data ( use the split function in R and take the calendar day part of the date time object ( probably chron ) using the as.Date function ) by day. In this way, the data starting on tuesday is not connected to data at the end of monday. | |
| Apr 13, 2017 at 12:46 | history | edited | CommunityBot |
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| Oct 3, 2016 at 18:42 | vote | accept | Mateusz Zaborski | ||
| Oct 8, 2016 at 14:22 | |||||
| Oct 3, 2016 at 9:23 | history | answered | Malick | CC BY-SA 3.0 |