This example illustrates how you can create a data set for use in the PICKMDL statement that contains five commonly used ARIMA models:
ARIMA (0 1 1)(0 1 1)s
ARIMA (0 1 2)(0 1 1)s
ARIMA (2 1 0)(0 1 1)s
ARIMA (0 2 2)(0 1 1)s
ARIMA (2 1 2)(0 1 1)s
The following macro code creates a MDLINFOIN= data set for a general ARIMA model:
%macro makemodel(name,p,d,q,sp,sd,sq,model); data "&name" (keep= _MODELTYPE_ _MODELPART_ _COMPONENT_ _DSVAR_ _PARMTYPE_ _FACTOR_ _LAG_ _LABEL_ ); length _MODELTYPE_ _MODELPART_ _COMPONENT_ _DSVAR_ _PARMTYPE_ $32; length _FACTOR_ _LAG_ 8; length _LABEL_ $32; _MODELTYPE_="ARIMA"; _MODELPART_="FORECAST"; _DSVAR_="."; _LABEL_="("||"&p"||" "||"&d"||" "||"&q"||")("|| "&sp"||" "||"&sd"||" "||"&sq"||")s"; /* nonseasonal AR factors */ _COMPONENT_="NONSEASONAL"; _PARMTYPE_="AR"; _FACTOR_=1; do _LAG_=1 to &p; output; end; /* seasonal AR factors */ _COMPONENT_="SEASONAL"; _PARMTYPE_="AR"; _FACTOR_=2; do _LAG_=1 to &sp; output; end; /* nonseasonal MA factors */ _COMPONENT_="NONSEASONAL"; _PARMTYPE_="MA"; _FACTOR_=1; do _LAG_=1 to &q; output; end; /* seasonal MA factors */ _COMPONENT_="SEASONAL"; _PARMTYPE_="MA"; _FACTOR_=2; do _LAG_=1 to &sq; output; end; /* nonseasonal DIF */ _COMPONENT_="NONSEASONAL"; _PARMTYPE_="DIF"; _FACTOR_=1; _LAG_=1; do i_=1 to &d; output; end; /* seasonal DIF */ _COMPONENT_="SEASONAL"; _PARMTYPE_="DIF"; _FACTOR_=2; _LAG_=1; do i_=1 to &sd; output; end; run; data sasuser.&name; length _MODEL_ $32; set "&name"; _MODEL_ = "&model"; run; %mend makemodel;
The following SAS statements use the macro to generate a data set with some commonly used models for use in the PICKMDL statement:
%makemodel(x12mdl1,0,1,1,0,1,1,Model1); %makemodel(x12mdl2,0,1,2,0,1,1,Model2); %makemodel(x12mdl3,2,1,0,0,1,1,Model3); %makemodel(x12mdl4,0,2,2,0,1,1,Model4); %makemodel(x12mdl5,2,1,2,0,1,1,Model5); data Models; length _NAME_ $32; set sasuser.x12mdl1 sasuser.x12mdl2 sasuser.x12mdl3 sasuser.x12mdl4 sasuser.x12mdl5; _NAME_ = 'sales'; run;
The Models
data set is shown in Output 37.9.1.
title '5 Commonly Used Models'; proc print data=Models; run ;
Output 37.9.1: A Data Set That Contains Models for Use with the PICKMDL Statement
5 Commonly Used Models |
Obs | _NAME_ | _MODEL_ | _MODELTYPE_ | _MODELPART_ | _COMPONENT_ | _DSVAR_ | _PARMTYPE_ | _FACTOR_ | _LAG_ | _LABEL_ |
---|---|---|---|---|---|---|---|---|---|---|
1 | sales | Model1 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 1 | (0 1 1)(0 1 1)s |
2 | sales | Model1 | ARIMA | FORECAST | SEASONAL | . | MA | 2 | 1 | (0 1 1)(0 1 1)s |
3 | sales | Model1 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (0 1 1)(0 1 1)s |
4 | sales | Model1 | ARIMA | FORECAST | SEASONAL | . | DIF | 2 | 1 | (0 1 1)(0 1 1)s |
5 | sales | Model2 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 1 | (0 1 2)(0 1 1)s |
6 | sales | Model2 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 2 | (0 1 2)(0 1 1)s |
7 | sales | Model2 | ARIMA | FORECAST | SEASONAL | . | MA | 2 | 1 | (0 1 2)(0 1 1)s |
8 | sales | Model2 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (0 1 2)(0 1 1)s |
9 | sales | Model2 | ARIMA | FORECAST | SEASONAL | . | DIF | 2 | 1 | (0 1 2)(0 1 1)s |
10 | sales | Model3 | ARIMA | FORECAST | NONSEASONAL | . | AR | 1 | 1 | (2 1 0)(0 1 1)s |
11 | sales | Model3 | ARIMA | FORECAST | NONSEASONAL | . | AR | 1 | 2 | (2 1 0)(0 1 1)s |
12 | sales | Model3 | ARIMA | FORECAST | SEASONAL | . | MA | 2 | 1 | (2 1 0)(0 1 1)s |
13 | sales | Model3 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (2 1 0)(0 1 1)s |
14 | sales | Model3 | ARIMA | FORECAST | SEASONAL | . | DIF | 2 | 1 | (2 1 0)(0 1 1)s |
15 | sales | Model4 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 1 | (0 2 2)(0 1 1)s |
16 | sales | Model4 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 2 | (0 2 2)(0 1 1)s |
17 | sales | Model4 | ARIMA | FORECAST | SEASONAL | . | MA | 2 | 1 | (0 2 2)(0 1 1)s |
18 | sales | Model4 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (0 2 2)(0 1 1)s |
19 | sales | Model4 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (0 2 2)(0 1 1)s |
20 | sales | Model4 | ARIMA | FORECAST | SEASONAL | . | DIF | 2 | 1 | (0 2 2)(0 1 1)s |
21 | sales | Model5 | ARIMA | FORECAST | NONSEASONAL | . | AR | 1 | 1 | (2 1 2)(0 1 1)s |
22 | sales | Model5 | ARIMA | FORECAST | NONSEASONAL | . | AR | 1 | 2 | (2 1 2)(0 1 1)s |
23 | sales | Model5 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 1 | (2 1 2)(0 1 1)s |
24 | sales | Model5 | ARIMA | FORECAST | NONSEASONAL | . | MA | 1 | 2 | (2 1 2)(0 1 1)s |
25 | sales | Model5 | ARIMA | FORECAST | SEASONAL | . | MA | 2 | 1 | (2 1 2)(0 1 1)s |
26 | sales | Model5 | ARIMA | FORECAST | NONSEASONAL | . | DIF | 1 | 1 | (2 1 2)(0 1 1)s |
27 | sales | Model5 | ARIMA | FORECAST | SEASONAL | . | DIF | 2 | 1 | (2 1 2)(0 1 1)s |
The following statements specify that the PICKMDL method be used to choose a model from the list of models that are defined
in the Models
data set. The default METHOD=FIRST option is used to select the model. The chosen model is shown in the mdlchosen
data set in Output 37.9.2.
proc x12 data=sales date=date mdlinfoin=Models mdlinfoout=mdlchosen; var sales; transform function=log; pickmdl method=first; run;
title 'Chosen Model'; proc print data=mdlchosen; run ;
Output 37.9.2: The Model Chosen from the Five Commonly Used Models
Chosen Model |
Obs | _NAME_ | _MODEL_ | _MODELTYPE_ | _MODELPART_ | _COMPONENT_ | _PARMTYPE_ | _DSVAR_ | _VALUE_ | _FACTOR_ | _LAG_ | _SHIFT_ | _NOEST_ | _EST_ | _STDERR_ | _TVALUE_ | _PVALUE_ | _STATUS_ | _SCORE_ | _LABEL_ |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | sales | MODEL1 | ARIMA | FORECAST | TRANSFORM | LOG | sales | . | . | . | . | . | . | . | . | . | . | (0 1 1)(0 1 1)s | |
2 | sales | MODEL1 | ARIMA | FORECAST | NONSEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (0 1 1)(0 1 1)s | |
3 | sales | MODEL1 | ARIMA | FORECAST | SEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (0 1 1)(0 1 1)s | |
4 | sales | MODEL1 | ARIMA | FORECAST | NONSEASONAL | MA | sales | . | 1 | 1 | . | 0 | 0.40181 | 0.078870 | 5.09458 | .000001192 | . | (0 1 1)(0 1 1)s | |
5 | sales | MODEL1 | ARIMA | FORECAST | SEASONAL | MA | sales | . | 2 | 1 | . | 0 | 0.55695 | 0.076255 | 7.30369 | 2.4359E-11 | . | (0 1 1)(0 1 1)s |
The following statements reverse the order of the models in the input data set. The default METHOD=FIRST option is used to
select the model. The chosen model is shown in the mdlchosen
data set in Output 37.9.3. With METHOD=FIRST, a different model is chosen because the order is changed.
data Models; length _NAME_ $32; set sasuser.x12mdl5 sasuser.x12mdl4 sasuser.x12mdl3 sasuser.x12mdl2 sasuser.x12mdl1 ; _NAME_ = 'sales'; run; proc x12 data=sales date=date mdlinfoin=Models mdlinfoout=mdlchosen; var sales; transform function=log; pickmdl method=first; run;
title 'Chosen Model'; proc print data=mdlchosen; run ;
Output 37.9.3: The Model Chosen from the Five Commonly Used Models, Reversed Order
Chosen Model |
Obs | _NAME_ | _MODEL_ | _MODELTYPE_ | _MODELPART_ | _COMPONENT_ | _PARMTYPE_ | _DSVAR_ | _VALUE_ | _FACTOR_ | _LAG_ | _SHIFT_ | _NOEST_ | _EST_ | _STDERR_ | _TVALUE_ | _PVALUE_ | _STATUS_ | _SCORE_ | _LABEL_ |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | sales | MODEL3 | ARIMA | FORECAST | TRANSFORM | LOG | sales | . | . | . | . | . | . | . | . | . | . | (2 1 0)(0 1 1)s | |
2 | sales | MODEL3 | ARIMA | FORECAST | NONSEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (2 1 0)(0 1 1)s | |
3 | sales | MODEL3 | ARIMA | FORECAST | SEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (2 1 0)(0 1 1)s | |
4 | sales | MODEL3 | ARIMA | FORECAST | NONSEASONAL | AR | sales | . | 1 | 1 | . | 0 | -0.36159 | 0.086055 | -4.20188 | 0.00005 | . | (2 1 0)(0 1 1)s | |
5 | sales | MODEL3 | ARIMA | FORECAST | NONSEASONAL | AR | sales | . | 1 | 2 | . | 0 | -0.06366 | 0.086141 | -0.73905 | 0.46120 | . | (2 1 0)(0 1 1)s | |
6 | sales | MODEL3 | ARIMA | FORECAST | SEASONAL | MA | sales | . | 1 | 1 | . | 0 | 0.56109 | 0.072814 | 7.70588 | 0.00000 | . | (2 1 0)(0 1 1)s |
The following example shows the use of PICKMDL statement option METHOD=BEST to select the model. The chosen model is shown in the mdlchosen
data set in Output 37.9.4. With METHOD=BEST, a different model is chosen than either of the previous models chosen. Because the order in which the
models occur in the MDLINFOIN= data set affects model selection when METHOD=FIRST is specified, it is a common practice to
list models from the simplest model to the most complex in the MDLINFOIN= data set that is used in conjunction with the PICKMDL
statement.
proc x12 data=sales date=date mdlinfoin=Models mdlinfoout=mdlchosen; var sales; transform function=log; pickmdl method=best; run;
title 'Chosen Model'; proc print data=mdlchosen; run ;
Output 37.9.4: The Model Chosen from the Five Commonly Used Models, METHOD=BEST
Chosen Model |
Obs | _NAME_ | _MODEL_ | _MODELTYPE_ | _MODELPART_ | _COMPONENT_ | _PARMTYPE_ | _DSVAR_ | _VALUE_ | _FACTOR_ | _LAG_ | _SHIFT_ | _NOEST_ | _EST_ | _STDERR_ | _TVALUE_ | _PVALUE_ | _STATUS_ | _SCORE_ | _LABEL_ |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | sales | MODEL2 | ARIMA | FORECAST | TRANSFORM | LOG | sales | . | . | . | . | . | . | . | . | . | . | (0 1 2)(0 1 1)s | |
2 | sales | MODEL2 | ARIMA | FORECAST | NONSEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (0 1 2)(0 1 1)s | |
3 | sales | MODEL2 | ARIMA | FORECAST | SEASONAL | DIF | sales | . | . | 1 | . | . | . | . | . | . | . | (0 1 2)(0 1 1)s | |
4 | sales | MODEL2 | ARIMA | FORECAST | NONSEASONAL | MA | sales | . | 1 | 1 | . | 0 | 0.39613 | 0.086126 | 4.59937 | 0.00001 | . | (0 1 2)(0 1 1)s | |
5 | sales | MODEL2 | ARIMA | FORECAST | NONSEASONAL | MA | sales | . | 1 | 2 | . | 0 | 0.03961 | 0.086163 | 0.45966 | 0.64652 | . | (0 1 2)(0 1 1)s | |
6 | sales | MODEL2 | ARIMA | FORECAST | SEASONAL | MA | sales | . | 2 | 1 | . | 0 | 0.55903 | 0.076446 | 7.31277 | 0.00000 | . | (0 1 2)(0 1 1)s |