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Book synopsis

Describes ARIMA or Box Tiao models, widely used in the analysis of interupted time series quasi-experiments, assuming no statistical background beyond simple correlation. The principles and concepts of ARIMA time series analyses are developed and applied where a discrete intervention has impacted a social system. '...this is the kind of exposition I wished I had had some ten years ago when venturing into the world of autoregressive, moving-average (ARIMA) models of time-series analysis...This monograph nicely lays out a method for assessing the impact of a discrete policy or event of some importance on behavior which can be continuously observed...If widely used, as I hope, it will save a generation of social scientists from the labor of having to learn this methodology the hard way...' -- Helmut Norpoth, State University of New York

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

• Full title: Interrupted Time Series Analysis
• Author: David McDowall, Richard McCleary, Errol Meidinger, Richard A. Hay
• Language: English
• Binding: Paperback
• Number of pages: 96
• EAN: 9780803914933
• ISBN: 0803914938
• ID: 04713612
• Publisher: SAGE Publications Inc
• Weight: 148 g
• Dimensions: 217 × 142 × 6 mm
• Date of publishing: 16. December 1980

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