On Mon, 5 Dec 2016, Allin Cottrell wrote:
 However, I'm now coming to the conclusion that there's no
obvious way (and 
 perhaps no way) to take the white-ball count data and turn it into something 
 that ought theoretically to be U(0,1) -- which would be step zero towards 
 applying the method just mentioned. I think Jack's point about failure of 
 independence is important: cumulating sorted relative count-frequencies will 
 give you a quantity that's distributed on [0,1] OK, but it won't act like a 
 set of independent random draws. 
Well, there is one, but it's not straightforward. Each week's data is a 
sample (without replacement) of 5 numbers out of 69, which gives you 69! / 
(5! 64!) = 11238513 equiprobable drawings. If you find a way to sort them 
according to some criterion (not difficult), then you have that your 605 
observations come from a discrete uniform distribution; if you normalise 
it to be between 0 and 1, then the support become so "tight", so to speak, 
to resemble very closely a continuous U(0,1).
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   Riccardo (Jack) Lucchetti
   Dipartimento di Scienze Economiche e Sociali (DiSES)
   Università Politecnica delle Marche
   (formerly known as Università di Ancona)
   r.lucchetti(a)univpm.it
   
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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