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?
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
