| Article ID: | iaor1996365 |
| Country: | United States |
| Volume: | 41 |
| Issue: | 1 |
| Start Page Number: | 174 |
| End Page Number: | 178 |
| Publication Date: | Jan 1995 |
| Journal: | Management Science |
| Authors: | Cipra Toms, Rubio Asuncin, Truvillo Jos |
| Keywords: | forecasting: applications |
The paper presents a simple procedure for interpolating, smoothing, and predicting in seasonal time series with missing observations. The approach suggested by Wright for the Holt’s method with nonseasonal data published at irregular time intervals is extended to the Holt-Winters method in the seasonal case. Numerical examples demonstrate the procedure.