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Nov 21 at 7:50 answer added Michael Brenndoerfer timeline score: 0
Jul 26 at 0:07 answer added Ishan Tomar timeline score: 0
Oct 17, 2022 at 9:00 history tweeted twitter.com/StackStats/status/1581933042469216256
Aug 31, 2022 at 16:21 answer added marsarius timeline score: 0
Sep 12, 2021 at 19:26 comment added Simon Woodward Not a great fan of Mann-Kendall. You could fit a GAM to each series and at least compare the confidence envelopes. There's probably a way to statistically compare the two fits formally too.
Sep 2, 2021 at 0:08 answer added Simon Woodward timeline score: 2
Sep 1, 2021 at 5:40 comment added Tung Drop a link to a lecture notes that discussed this problem for future readers
Feb 9, 2019 at 1:06 answer added Richard timeline score: 4
Nov 4, 2018 at 13:12 comment added kjetil b halvorsen Here is a Python library for unevenly-spaced time series analysis.
Mar 12, 2018 at 8:00 answer added M. Ejaz Ahmed timeline score: 0
Sep 14, 2013 at 22:05 vote accept robintw
Dec 4, 2011 at 19:20 answer added IrishStat timeline score: 39
Dec 4, 2011 at 19:08 answer added fionn timeline score: 19
Nov 29, 2011 at 18:11 comment added whuber The plot appears to obscure what may be a crucial difference between these series: they might be sampled at different frequencies. The black line (Aeronet) seems to be sampled only about 20 times and the red line (Visibility) hundreds of times or more. Another critical factor may be the regularity of sampling, or lack thereof: the times between Aeronet observations appear to vary a little. In general, it helps to erase the connecting lines and display only the points corresponding to actual data, so that the viewer can determine these things visually.
Nov 29, 2011 at 15:28 history asked robintw CC BY-SA 3.0