Sid wrote: > Yes, if seen stuff on exponentially weighted moving average, and it looks > like a reasonable way to go. > From what I've seen though, they all deal with time decay. > > What I want is time decay AND games decay to be taken into account. Any > ideas how to combine the two decay variables in the single average?
I think Steve Simon answered that very explicitly. What is it about his solution that does not fit? -- Paige Miller Eastman Kodak Company [EMAIL PROTECTED] http://www.kodak.com "It's nothing until I call it!" -- Bill Klem, NL Umpire "When you get the choice to sit it out or dance, I hope you dance" -- Lee Ann Womack > "Simon, Steve, PhD" <[EMAIL PROTECTED]> wrote in message > news:[EMAIL PROTECTED] > >>It's always hard to answer these questions without first asking "Why?" >>The approach that makes the most sense depends on what you are trying to >>achieve. >> >>Nevertheless, here's some basic advice. First, if you don't know >>anything about filtering, you should probably pick up some basics. I did >>a web search on exponentially weighted moving average and the first site >>on the list looked quite good: >> >>Dealing with Measurement Noise (A Gentle Introduction to Noise >>Filtering) M.T. Tham, http://lorien.ncl.ac.uk/ming/filter/filter.htm >> >>Second, you have time measured two different ways (D=number of days ago >>and G=number of games ago). It seems simplest just to add the two >>numbers together T=D+G. So a performance 5 days ago and 2 games ago >>would give you a value of T=7. Perhaps you might want to weight things >>differently. In the case of weekly sporting events, T=D/7+G might make >>more sense. >> >>There's a lot of arbitrariness in your choices for the relative >>importance of D vs G and how quickly the weights decay to zero. Unless >>your results were used for something very critical like litigation or >>salary negotiations, I wouldn't waste a lot of time trying to compare >>different approaches. Most reasonable approaches will come up with >>roughly the same answer. >> >>Steve Simon, [EMAIL PROTECTED], Standard Disclaimer. >>The STATS web page has moved to >>http://www.childrens-mercy.org/stats. . . . . . . . . . . . . . . . . . . . . . . . . . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
