| The HPFARIMASPEC Procedure |
| FORECAST Statement |
The following options are used in the FORECAST statement.
specifies a symbolic name for the dependent series. This symbol specification is optional. If the SYMBOL= option is not specified, Y is used as a default symbol.
specifies the differencing orders for the dependent series. For example, DIF= (1 12) specifies that the series be differenced using the operator
. The differencing orders can be positive integers or they can be "s", which indicates a placeholder that will be substituted later with an appropriate value. The use of placeholders is explained further in Example 3.3.
> ...(lag, ..., lag )<
>
specifies the autoregressive part of the model. By default, no autoregressive parameters are fit.
P=(l
, l
, ..., l
) defines a model with autoregressive parameters at the specified lags. P= order is equivalent to P=(1, 2, ..., order ).
A concatenation of parenthesized lists specifies a factored model. For example, P=(1,2,5)(6,12) specifies the autoregressive model
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Optionally, you can specify multipliers after the parenthesized lists. For example, P=(1)(1)12 is equivalent to P=(1)(12), and P=(1,2)4(1)12(1,2)24 is equivalent to P=(4,8)(12)(24,48). These multipliers can either be positive integers or they can be "s", which indicates a placeholder that will be substituted later with an appropriate value. The use of placeholders in the multiplier specification is explained in Example 3.3.
> ...(lag, ..., lag )<
>
specifies the moving average part of the model. By default, no moving average parameters are fit.
The manner of specification of the moving average part is identical to the specification of the autoregressive part described in the P= option.
suppresses the fitting of a constant (or intercept) parameter in the model. (That is, the parameter
is omitted.)
specifies the noise variance. This is useful only if you want to specify an externally published model that is fully specified.
specifies the transformation to be applied to the time series. The following transformations are provided:
no transformation applied
logarithmic transformation
square-root transformation
logistic transformation
Box-Cox transformation with parameter number where number is between –5 and 5
When the TRANSFORM= option is specified, the intended time series must be strictly positive.
specifies that mean or median forecasts be estimated. The following options are provided:
Mean forecasts are estimated. This is the default.
Median forecasts are estimated.
If no transformation is applied to the actual series with the TRANSFORM= option, the mean and median time series forecast values are identical.
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