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? Cheers "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/ . > ================================================================= . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
