Timeline for Reliability of mean of standard deviations
Current License: CC BY-SA 2.5
10 events
| when toggle format | what | by | license | comment | |
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Jan 20, 2011 at 15:53 | comment | added | Frank Meulenaar | I didn't know that site existed, thanks; close this one please. | |
| Jan 20, 2011 at 15:52 | history | edited | Frank Meulenaar | CC BY-SA 2.5 |
moved
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| Jan 12, 2011 at 0:20 | comment | added | Nate Eldredge | This doesn't look like a research-level mathematics question. stats.stackexchange.com is $\rightarrow$ that way. Voting to close. | |
| Jan 11, 2011 at 18:59 | comment | added | Frank Meulenaar | I've added an example to clarify | |
| Jan 11, 2011 at 18:59 | history | edited | Frank Meulenaar | CC BY-SA 2.5 |
added 857 characters in body; added 11 characters in body; added 6 characters in body
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| Jan 10, 2011 at 17:47 | comment | added | B R | It's not clear to me what you mean. In your situation, it is standard to partition the total variance into within-machine and between-machine components, which might be what you are looking for. Under reasonable assumptions and balanced data, there are even nice formulas. Could you write out the expression you used to calculate your X? | |
| Jan 10, 2011 at 17:43 | answer | added | Carlo Beenakker | timeline score: 1 | |
| Jan 10, 2011 at 15:53 | comment | added | Igor Rivin | I don't know whether there is an official name for it, but what I do know is that it is extremely difficult to calculate reliably. Of course, my expertise is in the area of finance, where the process is "heteroscedatic" (moves around with time). If your machines behave the same way day in and day out, you have an easier problem... | |
| Jan 10, 2011 at 15:24 | history | asked | Frank Meulenaar | CC BY-SA 2.5 |