Timeline for Efficient algorithm/data structure to calculate moving averages
Current License: CC BY-SA 3.0
8 events
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| May 23, 2017 at 12:37 | history | edited | CommunityBot |
replaced http://stackoverflow.com/ with https://stackoverflow.com/
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| Mar 7, 2014 at 9:55 | history | edited | ratchet freak | CC BY-SA 3.0 |
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| Mar 7, 2014 at 9:47 | history | edited | ratchet freak | CC BY-SA 3.0 |
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| Mar 7, 2014 at 9:31 | comment | added | ratchet freak | @Cybergibbons you can use different weights to approximate the window so old values become insignificant earlier or later, or keep 7 days for the 7 day window and this moving average for the 28 day average | |
| Mar 7, 2014 at 9:27 | comment | added | asheeshr | This doesnt allow calculating the average for a specific window. | |
| Mar 7, 2014 at 9:26 | comment | added | Peter Bloomfield | I've used this approach for smoothing noisy analog values before, and it was certainly fairly effective. I didn't need a lot of precision though, as the resulting values were being put through a very coarse quantiser. I also didn't need historical averages. | |
| Mar 7, 2014 at 9:23 | comment | added | Cybergibbons | Can you explain more how this would allow me to calculate the 7 and 28 day average? | |
| Mar 7, 2014 at 9:15 | history | answered | ratchet freak | CC BY-SA 3.0 |