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DOI: 10.1177/0193841X8400800505 Using Exponential Smoothing To Specify Intervention Models for Interrupted Time SeriesUniversity of Maryland-Baltimore County
Syracuse University In general, procedures for the analysis of interrupted time series are quite sophisticated and powerful. However, procedures for identifying the intervention component of inter rupted time-series models remain relatively primitive. In this article we demonstrate how exponential smoothing can play a function in the identification of the intervention component of an interrupted time-series model that is analogous to the function that the sample autocorrelation and partial autocorrelation functions serve in the identification of the noise portion of such a model.
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