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S Apr 14, 2022 at 14:44 history suggested Glorfindel CC BY-SA 4.0
2 broken links fixed
Apr 14, 2022 at 9:15 review Suggested edits
S Apr 14, 2022 at 14:44
Apr 13, 2017 at 12:44 history edited CommunityBot
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
Feb 15, 2013 at 15:38 history edited Christian CC BY-SA 3.0
added maybe more appropriate title
Feb 15, 2013 at 15:30 history edited Christian CC BY-SA 3.0
deleted one line of code that wasn't really helpful in isolation
Feb 15, 2013 at 15:21 history edited Christian CC BY-SA 3.0
added the code I used and explanations
Feb 14, 2013 at 23:36 answer added Peter Flom timeline score: 1
Feb 14, 2013 at 23:26 comment added Christian @StasK Also, I still hope there are other people who have similar problems with these concepts as I do and not all of them might have access to the full text of this Springer Link.
Feb 14, 2013 at 23:23 comment added Christian @StasK Simpler language would be great but I hope I don't need to get an explanation of the whole paper. After all its main focus is on the circumstances under which $\alpha$, $\beta$ and $\omega$ behave in this way or another. I'm more interested in more fundamental/primitive concepts I guess and in why my data is allowed to behave in such a strange way that clearly violates my naive understanding of those concepts which isn't good news for the persistence of these understandings without considerable cognitive dissonance.
Feb 14, 2013 at 23:23 review First posts
Feb 14, 2013 at 23:31
Feb 14, 2013 at 23:15 comment added StasK That seems to be a good reference in Psychometrika that you linked to... so are you looking for an explanation of that paper in a simpler language?
Feb 14, 2013 at 23:08 history asked Christian CC BY-SA 3.0