The ESM Procedure
The ESM procedure can be used to forecast time series data as well as transactional data. If the data is transactional, then the procedure must first accumulate the data into a time series before it can be forecast. The procedure uses the following sequential steps to produce forecasts, with the options that control the step listed to the right:
Table 14.2: ESM Processing Steps and Control Options
|
Step |
Operation |
Option |
Statement |
|---|---|---|---|
|
1 |
accumulation |
ACCUMULATE= |
ID |
|
2 |
missing value interpretation |
SETMISSING= |
ID, FORECAST |
|
3 |
transformations |
TRANSFORM= |
FORECAST |
|
4 |
parameter estimation |
MODEL= |
FORECAST |
|
5 |
forecasting |
MODEL=, LEAD= |
FORECAST, PROC ESM |
|
6 |
inverse transformation |
TRANSFORM, MEDIAN |
FORECAST |
|
7 |
summation of forecasts |
LEAD=, STARTSUM= |
PROC ESM |
Each of the steps shown in Table 14.2 is described in the following sections.