A seasonal autoregressive moving-average model, denoted , is an autoregressive
moving-average model with additional autoregressive and moving-average terms
at integer multiples of a seasonal period
.
Using the shift operator
defined by
,
a centered model can be written
where and
are respectively the nonseasonal autoregressive and moving-average
polynomials,
and
are their seasonal counterparts, and the
are innovations. The
orders
and
give the degrees of
and
,
while
and
give the degrees of
and
.
When
, the model reduces to an autoregressive
moving-average model.
A seasonal autoregressive moving-average process can be represented in the Wolfram Language using SARMAProcess[a, b, {s, alpha, beta}, v].