Timeline for What are the implications of incorporating new data and removing old data from a sample set of fixed size?
Current License: CC BY-SA 4.0
3 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Aug 7 at 4:24 | comment | added | jginestet | You need to define a "rational subsample" (Google this term, maybe together with the term "process control"). This depends on how often you think the process will change state, how sudden the state change is, etc.. Once you do so, make sure you download the data often enough so you do not miss a state change. Say, state changes on average every 4 hours, so you would need to download data at most every 8 hours, at and least every 36 hours (because your device does not get to 48 hours). Now the question is, what if the state changed 8 hours ago, and you find that out now? | |
Aug 7 at 3:37 | comment | added | Ledge troll | The device runs continuously 24/7. I am monitoring an environment that can be only in 1 of 7 different states (the example showed level 6 but its really state: 6) here are the stats for state 5: Mean: 796 Min: 777 Max: 820 Mode: 796 StdDev: 4.2 Sample size:10000. By continuously taking readings I create these statistics and over time I want to confidently judge what state I'm in. | |
Aug 6 at 19:38 | history | answered | jginestet | CC BY-SA 4.0 |