The ARIMA Procedure

ODS Table Names

PROC ARIMA assigns a name to each table it creates. You can use these names to reference the table when you use the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 7.12.

Table 7.12: ODS Tables Produced by PROC ARIMA

ODS Table Name

Description

Statement

Option

ChiSqAuto

chi-square statistics table for autocorrelation

IDENTIFY

 

ChiSqCross

chi-square statistics table for cross-correlations

IDENTIFY

CROSSCORR

AutoCorrGraph

Correlations graph

IDENTIFY

 

CrossCorrGraph

Cross-Correlations graph

IDENTIFY

 

DescStats

Descriptive statistics

IDENTIFY

 

ESACF

Extended sample autocorrelation function

IDENTIFY

ESACF

ESACFPValues

ESACF probability values

IDENTIFY

ESACF

IACFGraph

Inverse autocorrelations graph

IDENTIFY

 

InputDescStats

Input descriptive statistics

IDENTIFY

 

MINIC

Minimum information criterion

IDENTIFY

MINIC

PACFGraph

Partial autocorrelations graph

IDENTIFY

 

SCAN

Squared canonical correlation estimates

IDENTIFY

SCAN

SCANPValues

SCAN chi-square probability values

IDENTIFY

SCAN

StationarityTests

Stationarity tests

IDENTIFY

STATIONARITY

TentativeOrders

Tentative order selection

IDENTIFY

MINIC, ESACF, or SCAN

ARPolynomial

Filter equations

ESTIMATE

 

ChiSqAuto

chi-square statistics table for autocorrelation

ESTIMATE

 

ChiSqCross

chi-square statistics table for cross-correlations

ESTIMATE

 

CorrB

Correlations of the estimates

ESTIMATE

 

DenPolynomial

Filter equations

ESTIMATE

 

FitStatistics

Fit statistics

ESTIMATE

 

IterHistory

Iteration history

ESTIMATE

PRINTALL

InitialAREstimates

Initial autoregressive parameter estimates

ESTIMATE

 

InitialMAEstimates

Initial moving-average parameter estimates

ESTIMATE

 

InputDescription

Input description

ESTIMATE

 

MAPolynomial

Filter equations

ESTIMATE

 

ModelDescription

Model description

ESTIMATE

 

NumPolynomial

Filter equations

ESTIMATE

 

ParameterEstimates

Parameter estimates

ESTIMATE

 

PrelimEstimates

Preliminary estimates

ESTIMATE

 

ObjectiveGrid

Objective function grid matrix

ESTIMATE

GRID

OptSummary

ARIMA estimation optimization

ESTIMATE

PRINTALL

OutlierDetails

Detected outliers

OUTLIER

 

Forecasts

Forecast

FORECAST