# summary.arma

From tseries v0.8-0
by Kurt Hornik

##### Summarizing ARMA Model Fits

Methods for creating and printing summaries of ARMA model fits.

##### Usage

```
## S3 method for class 'arma':
summary(object, \dots)
## S3 method for class 'summary.arma':
print(x, digits = max(3, getOptions("digits") - 3),
signif.stars = getOption("show.signif.stars"), ...)
```

##### Arguments

- object
- an object of class
`"arma"`

; usually, a result of a call to`arma`

. - x
- an object of class
`"summary.arma"`

; usually, a result of a call to the summary method for objects of class`"arma"`

. - digits, signif.stars
- see
`print.coefmat`

. - ...
- further arguments passed to or from other methods.

##### Details

The summary method computes the asymptotic standard errors of the coefficient estimates from the numerically differentiated Hessian matrix approximation. The AIC is computed from the conditional sum-of-squared errors and not from the true maximum likelihood function. That may be problematic.

##### Value

- A list of class
`"summary.arma"`

.

##### See Also

*Documentation reproduced from package tseries, version 0.8-0, License: GPL (see file COPYING), except for ./src/muin2ser.f and ./misc which are free for non-commercial purposes. See file README for details.*

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