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\name{Box.test}\alias{Box.test}\title{Box-Pierce and Ljung-Box Tests}\description{Compute the Box--Pierce or Ljung--Box test statistic for examining thenull hypothesis of independence in a given time series.}\usage{Box.test(x, lag = 1, type = c("Box-Pierce", "Ljung-Box"))}\arguments{\item{x}{a numeric vector or univariate time series.}\item{lag}{the statistic will be based on \code{lag} autocorrelationcoefficients.}\item{type}{test to be performed: partial matching is used.}}\note{Missing values are not handled.}\value{A list with class \code{"htest"} containing the following components:\item{statistic}{the value of the test statistic.}\item{parameter}{the degrees of freedom of the approximate chi-squareddistribution of the test statistic.}\item{p.value}{the p-value of the test.}\item{method}{a character string indicating which type of test wasperformed.}\item{data.name}{a character string giving the name of the data.}}\references{Box, G. E. P. and Pierce, D. A. (1970),Distribution of residual correlations in autoregressive-integratedmoving average time series models.\emph{Journal of the American Statistical Association}, \bold{65},1509--1526.Ljung, G. M. and Box, G. E. P. (1978),On a measure of lack of fit in time series models.\emph{Biometrika} \bold{65}, 553--564.Harvey, A. C. (1993)\emph{Time Series Models}.2nd Edition, Harvester Wheatsheaf, NY, pp. 44, 45.}\author{A. Trapletti}\examples{x <- rnorm (100)Box.test (x, lag = 1)Box.test (x, lag = 1, type="Ljung")}\keyword{ts}