We are considering to make a CUSUM test for such a time series X = (x1,..,xn)
. Suppose X contains many noises which need to be removed in some ways. Simply speaking, the CUSUM test considers the empirical process, and check if it hits the boundary corresponding to the Brownian bridge. In practice, for execution of the CUSUM test, we utilize an R package, strucchange
. Now we have a question. The question is related to the scaling of boundary since we are considering to make a resampling or filtering raw data, and perform a CUSUM test, again.
Question is as follows: Do we need to make any rescaling the boundary when we make a filtering data? For instance, should we need to multiply the original boundary by 1/sqrt(m) (m: sample length)
? Since we are using the open source R package, strucchange
in performing the CUSUM test, it is not so clear if we need to take care of such a rescaling factor of the boundary function.