Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models

Many statistical models, and in particular autoregressive—moving average time series models, can be regarded as means of transforming the data to white noise, that is, to an uncorrected sequence of errors. If the parameters are known exactly, this random sequence can be computed directly from the ob... View More