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Interrupted Time Series Analysis

By: (Author) David McDowall , (Author) Errol Meidinger , (Author) Richard A. Hay , (Author) Richard McCleary

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Ksh 6,750.00

Format: Paperback / Softback

ISBN-10: 0803914938

ISBN-13: 9780803914933

Series: Quantitative Applications in the Social Sciences

Publisher: SAGE Publications Inc

Imprint: SAGE Publications Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 16th, 1980

Print length: 96 Pages

Weight: 148 grams

Dimensions (height x width x thickness): 21.70 x 14.20 x 0.60 cms

Product Classification: Applied mathematics

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Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.


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 fro

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