A question about forecasting with R
The forecast package has a number of forecasting methods you could try.
On Thu, Apr 2, 2009 at 3:17 AM, minben <minbenh at gmail.com> wrote:
I want to forecaste the call number everyday for a call-center. Now I have removed the influence of the fluctuation with some method, so only thing left is to analyze the trend of the call number every day. I have thought of two ways: regression and HoltWinters smooth. But when I use regression, I find some day's call number will bcome negative, which is obviously unreasonabe. If I use HoltWinters smooth ,I let the gamma parameter equal to 0 because I needn't analyze the seasonal fact, but the result shows that the increasing trend is too big. I adjust the parameter alpha and beta ,which makes the result better,but I don't know if it's right. In this case of situation,which way is better? Or is there another appropriate ?method?
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