A portmanteau test is a statistical test that jointly examines several time-series autocorrelations. A typical test statistic has the form
where
is the sample autocorrelation at lag
and the weights
depend on the particular test. Under the null
hypothesis that the tested autocorrelations
are zero,
is commonly compared with a chi-squared distribution.
For fitted-model residuals, the degrees of freedom are adjusted to account for estimated
model parameters.
The Box-Pierce test uses , while the Ljung-Box test
uses a finite-sample correction.