Go to Post Each match is a learning experiance - the only thing you can do is get better. - SuperJake [more]
Home
Go Back   Chief Delphi > FIRST > General Forum
CD-Media   CD-Spy  
portal register members calendar search Today's Posts Mark Forums Read FAQ rules

 
 
 
Thread Tools Rating: Thread Rating: 4 votes, 5.00 average. Display Modes
Prev Previous Post   Next Post Next
  #21   Spotlight this post!  
Unread 17-05-2015, 17:15
Citrus Dad's Avatar
Citrus Dad Citrus Dad is offline
Business and Scouting Mentor
AKA: Richard McCann
FRC #1678 (Citrus Circuits)
Team Role: Mentor
 
Join Date: May 2012
Rookie Year: 2012
Location: Davis
Posts: 992
Citrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond reputeCitrus Dad has a reputation beyond repute
Re: "standard error" of OPR values

Quote:
Originally Posted by wgardner View Post
I guess my uncertainty is not about what "standard error" means but what you mean by "the OPRs."

But I'm guessing that what you're really interested in is: if the same tournament were run multiple times and if the match results varied randomly as we modeled (yeah, yeah, and if everybody had a can opener), what would be the standard error of the OPR estimates? Or in other words, what if the same teams with the same robots and the same drivers played in 100 tournaments back-to-back and we computed the OPR for each team for all 100 tournaments, what would be the standard error for these 100 different OPR estimates?

Too much for a Sunday morning. Thoughts?
The OPR measures the expected contribution per MATCH. We usually compute it for a tournament as representing the average contribution per match. So if we run the same match over and over, we would expect to see a similar OPR. The SE tells us the probability range that we expect the OPR to fall in if we kept running that match over and over. Confidence intervals (e.g. 95%) tell us that we have 95% confidence that the OPR will fall into this set range if we ran the same match (with complete amnesia by the participants) over and over.
Reply With Quote
 


Thread Tools
Display Modes Rate This Thread
Rate This Thread:

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

vB code is On
Smilies are On
[IMG] code is On
HTML code is Off
Forum Jump


All times are GMT -5. The time now is 05:13.

The Chief Delphi Forums are sponsored by Innovation First International, Inc.


Powered by vBulletin® Version 3.6.4
Copyright ©2000 - 2017, Jelsoft Enterprises Ltd.
Copyright © Chief Delphi