Detecting relevant changes in the spatiotemporal mean function
share
For a spatiotemporal process {X_j(s,t) | s ∈ S , t ∈ T }_j =1, … , n, where S denotes the set of spatial locations and T the time domain, we consider the problem of testing for a change in the sequence of mean functions. In contrast to most of the literature we are not interested in arbitrarily small changes, but only in changes with a norm exceeding a given threshold. Asymptotically distribution free tests are proposed, which do not require the estimation of the long-run spatiotemporal covariance structure. In particular we consider a fully functional approach and a test based on the cumulative sum paradigm, investigate the large sample properties of the corresponding test statistics and study their finite sample properties by means of simulation study.
READ FULL TEXT