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Unread 27-05-2015, 14:57
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Ether Ether is offline
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Re: Incorporating Opposing Alliance Information in CCWM Calculations

Quote:
Originally Posted by AGPapa View Post
Thoughts?
See attached XLS. I was playing around with it yesterday. There's all sorts of fun things you could try.

Column D looks a lot like what you're suggesting, except it adds the average OPR instead.


Also attached are 2013 A b T for OPR CCWM WMPR and EPR. The raw qual match data from TBA used to generate those is posted here.


Quote:
Originally Posted by saikiranra View Post
If I'm understanding this properly, are we setting square matrix for that system as the following?

| 2 2 2 -1 -1 -1 | |r1| = |2RS - BS|
| 2 2 2 -1 -1 -1 | |r2| = |2RS - BS|
| 2 2 2 -1 -1 -1 | |r3| = |2RS - BS|
| -1 -1 -1 2 2 2 | |b1| = |2BS - RS|
| -1 -1 -1 2 2 2 | |b2| = |2BS - RS|
| -1 -1 -1 2 2 2 | |b3| = |2BS - RS|
Each match generates 3 equations (3 rows in the A matrix and 3 scores in the b matrix).

If you look at _Aepr.CSV (or _Aepr.dat) and _bepr.CSV (or _bepr.dat) it should be pretty clear.

Then you solve for EPR like so: EPR = pinv(Aepr)*bepr

If you want to see what the matrix for the normal equations looks like, look at Method 2 in this post. N will be square.




Quote:
Originally Posted by wgardner View Post
perhaps then it needs a different name as it's not a WM measure?
?? I thought Wm stood for "William"




Just kidding.
Attached Files
File Type: xls metrics.xls (25.0 KB, 5 views)
File Type: zip A, b, T for OPR, CCWM, WMPR 2013 qual matches.zip (1.21 MB, 2 views)

Last edited by Ether : 27-05-2015 at 15:21.
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