# jarque.bera.test

From tseries v0.9-20
by Kurt Hornik

##### Jarque--Bera Test

Tests the null of normality for `x`

using the Jarque-Bera
test statistic.

- Keywords
- ts

##### Usage

`jarque.bera.test(x)`

##### Arguments

- x
- a numeric vector or time series.

##### Details

This test is a joint statistic using skewness and kurtosis coefficients. Missing values are not allowed.

##### Value

- A list with class
`"htest"`

containing the following components: statistic the value of the test statistic. parameter the degrees of freedom. p.value the p-value of the test. method a character string indicating what type of test was performed. data.name a character string giving the name of the data.

##### References

J. B. Cromwell, W. C. Labys and M. Terraza (1994):
*Univariate Tests for Time Series Models*,
Sage, Thousand Oaks, CA, pages 20--22.

##### Examples

```
x <- rnorm(100) # null
jarque.bera.test(x)
x <- runif(100) # alternative
jarque.bera.test(x)
```

*Documentation reproduced from package tseries, version 0.9-20, License: GPL (see file COPYING)*

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