TSMODEL Procedure

Missing Value Interpretation

Once the data has been accumulated to form a time series based on the INTERVAL= and the ACCUMULATE= options, missing value interpretation is performed. Sometimes missing values should be interpreted as unknown values. In other situations, missing values are known, such as when missing values are created from accumulation and no observation should be interpreted as no value—that is, 0. In the former case, you can specify the SETMISSING= option to interpret how to treat missing values. In the latter case, you can specify SETMISSING=0 in order to treat missing observations as no (zero) values. In other cases, missing values should be interpreted as global values, such as minimum or maximum values of the accumulated series. The accumulated and interpreted time series is used in subsequent analyses.

Last updated: July 09, 2026