An easy way to account for seasonal effects is to use one of the techniques already described, but tolimit the data in the time series to those time periods in the same season. For example, for a day-of-theweek seasonal effect, one time series would be for Mondays, one for Tuesdays, and so on. Such an approach accounts for seasonal effects, but has the disadvantage of discarding considerable informationon past demand.