A Sales Forecasting Model for the Consumer Goods with Holiday Effects
In reality, there are so-called holiday effects in the sales of many consumer goods, and their sales data have the characteristics of double trend change of time series. In view of this, by introducing the seasonal decomposition and ARIMA model, this paper proposes a sales forecasting model for the...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Society for Risk Analysis - China
2020-07-01
|
| Series: | Journal of Risk Analysis and Crisis Response (JRACR) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125941835/view |