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Using Exponential Smoothing To Specify Intervention Models for Interrupted Time Series

Author

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  • Marvin B. Mandell

    (University of Maryland-Baltimore County)

  • Stuart I. Bretschneider

    (Syracuse University)

Abstract

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.

Suggested Citation

  • Marvin B. Mandell & Stuart I. Bretschneider, 1984. "Using Exponential Smoothing To Specify Intervention Models for Interrupted Time Series," Evaluation Review, , vol. 8(5), pages 663-691, October.
    • Handle: RePEc:sae:evarev:v:8:y:1984:i:5:p:663-691
    DOI: 10.1177/0193841X8400800505
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    Cited by:

    1. Marvin B. Mandell, 1986. "The Effect of Regionalization On Infant and Early Neonatal Mortality," Evaluation Review, , vol. 10(6), pages 806-829, December.

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