Parameter Estimates (OUTEST)

The OUTEST table includes parameter estimates for each unique BY variable combination. This table is shown in the results for the Model Comparison node if it is generated by the preceding node.

Note: If the Task option for the modeling node is set to Forecast, estimates are not generated and the OUTEST table is generated with no rows. If the source data has been updated for the project, OUTEST is updated with only the time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) that have been added.

You can run the node with a different task to populate the table again. The Task option can be set for the following modeling nodes:

OUTEST Table

Variable Name

Variable Label

Description

_NAME_

Variable Name

Name of the dependent variable

_SELECT_

Selection List

Name of the selection list

_MODEL_

Forecasting Model

Name of model in the selection list

_MODELVAR_

Model Variable

Symbol used in the model specification

_DSVAR_

Data Set Variable

Corresponding variable name

_VARTYPE_

Variable Type

Type of variable (dependent or independent)

_TRANSFORM_

Transformation

Type of the variable (dependent or independent)Transform that is used for the dependent variable

_COMPONENT_

Component

Component name within the component model

_COMPMODEL_

Component Model

Component model name

_PARM_

Parameter Name

Parameter name

_FACTOR_

Factor

Factor number

_LAG_

Lag

Lag that is used

_SHIFT_

Shift

Shift that is used

_EST_

Value of Parameter Estimate

Parameter estimate

_STDERR_

Standard Error of Parameter Estimate

Parameter estimate standard error

_TVALUE_

T-Value of Parameter Estimate

t statistic for parameter estimate

_PVALUE_

P-Value of Parameter Estimate

p -value for parameter estimate

_LABEL_

Model Label

System-generated label for model

_STATUS_

Parameter Estimation Status

Indicates success or failure in estimating parameter.

See Also

Last updated: March 16, 2026