I'm trying to understand how ACF is actually calculated. Let's say we have the following dataset. How would we calculate the ACF of YtYt-2. t Yt 1 3 2 6 3 8 4 4 5 4 6 8
hopefully you can better define what ACF stands for.
\bar y \[\bar y\]
ACF is autocorrelation function
The ACF function is below for reference: \[\frac{\sum_{t=1+k}^{n} (Y _{t}-\bar Y)(Y _{t-k}-\bar Y) }{ \sum_{t = 1}^{n} (Y_{t} - \bar Y)^2}\]] \]
http://mathworld.wolfram.com/Autocorrelation.html autocorrelation is beyond the scope of my ken. can you make any sense of the wolfram documentation?
Unfortunately not regarding the Wolfram documentation. Thanks for taking a look.
good luck with it :) there are plenty of smarter than mes about that may have a better head on their shoulders for this topic :)
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