Dear Jonathan, > standard deviation "feels" a bit different from a mean, and a variance even > more so because of its different units, but I can't see a clear justification > for treating these two differently from mean, median, mode or other cell > methods - they are all statistics which characterise variation of a single > quantity over its dimensions
I have a hard time understanding how mean, median or mode can be used to characterise variation. For each of these statistics one can (in principle) use one data vaue to argue that it is the the best available estimate of the corresponding true unobserved value "out there". However, for standard deviation, variance and standard error this is clearly not possible. So, I would say that there is a fundamental difference. In the light of this issue, mean, median or mode do not (as far as I understand) give any information that can be related to uncertainty, which is contrary to standard deviation, variation or standard error. -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://urldefense.us/v3/__https://github.com/cf-convention/cf-conventions/issues/320*issuecomment-904636205__;Iw!!G2kpM7uM-TzIFchu!hIROUXQN_FTrv6x6NRozPwcpJe8ooEj3DZ65fHP2SihX9FLP6CBPUso8YLEwLVgiR0kqGnopWUw$ This list forwards relevant notifications from Github. It is distinct from cf-metad...@cgd.ucar.edu, although if you do nothing, a subscription to the UCAR list will result in a subscription to this list. To unsubscribe from this list only, send a message to cf-metadata-unsubscribe-requ...@listserv.llnl.gov.
