Timeline for Normalize positive distributed time series data without window parameters
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 25, 2023 at 8:57 | comment | added | Richard Hardy | @atlantic0cean, OK, so what you want is neither std. nor norm. but rather some other transformation (perhaps mean-centering or median-centering). It is usually helpful to stick to established terminology, so it could make sense to edit the post accordingly. | |
| Jul 25, 2023 at 7:20 | comment | added | atlantic0cean | @RichardHardy Here I didn't distinguish standardization and normalization. What I request is transforming the original data into a piece of data distributed equally into negative side and positive side. | |
| Jul 25, 2023 at 7:17 | comment | added | atlantic0cean | Actually I only need the sign of the factor, so this standard method is equivalent to factor minus mean. Yet the mean needs a window. | |
| Jul 25, 2023 at 7:17 | comment | added | Richard Hardy | That is known as standardization, while the OP is asking about normalization (but they use the term incorrectly, so perhaps your solution is fine for them). | |
| Jul 25, 2023 at 6:25 | comment | converted from answer | K. Roman | What about standard way: (factor(t)-mean)/stdDev ? | |
| S Jul 25, 2023 at 5:50 | review | First questions | |||
| Jul 25, 2023 at 8:08 | |||||
| S Jul 25, 2023 at 5:50 | history | asked | atlantic0cean | CC BY-SA 4.0 |