Timeline for How to combine variances from sensors where each observation has its own variance?
Current License: CC BY-SA 3.0
11 events
when toggle format | what | by | license | comment | |
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Jul 16, 2013 at 14:34 | vote | accept | krokodil | ||
Jul 16, 2013 at 5:15 | history | edited | Jeromy Anglim | CC BY-SA 3.0 |
tried to make title more specific; feel free to refine
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Jul 16, 2013 at 1:43 | comment | added | gung - Reinstate Monica | In that case, @John's suggestion is probably the best that can be done. | |
Jul 16, 2013 at 1:15 | comment | added | krokodil | I could not make any assumptions on how sensor produced (x,s) values. They might be based on some hidden iterations or perhaps something else. However it is safe to assume that each (x,s) pair returned to me is independent from others and measuring the same true value of 'x'. | |
Jul 16, 2013 at 0:22 | comment | added | gung - Reinstate Monica | Some questions: The idea here is that the sensor actually took a number of measurements, and calculated & returned their mean & SD, is that right? Do you know if the measurements from iteration to the next are independent? What is it that you want to do with these measurements in the end? You may also find this thread interesting: algebra-for-data-confidence. | |
Jul 16, 2013 at 0:10 | answer | added | John | timeline score: 1 | |
Jul 15, 2013 at 23:55 | history | edited | krokodil | CC BY-SA 3.0 |
added 29 characters in body
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S Jul 15, 2013 at 23:53 | history | suggested | Andre Silva | CC BY-SA 3.0 |
LaTeX for readability
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Jul 15, 2013 at 23:53 | review | Suggested edits | |||
S Jul 15, 2013 at 23:53 | |||||
Jul 15, 2013 at 23:50 | review | First posts | |||
Jul 15, 2013 at 23:53 | |||||
Jul 15, 2013 at 23:31 | history | asked | krokodil | CC BY-SA 3.0 |