Isbn: 9780803914933 - Mcdowall: Interrupted Time Series Analysis (paper)sis (paper): 21 (quantitative Applications in the Social Sciences) (29 results)

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Softcover. Condition: Very Good. Copy would have been new if not for dampness wrinkles. All pages intact and no text is un-readable. Cover is in great condition. Quantity Available: 1. ISBN: 0803914938. ISBN/EAN: 9780803914933. Pictures of this item not already displayed here available upon request. Inventory No: 1560801627. …

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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

Condition: New. Print on Demand pp. 100 1:B&W 5.5 x 8.5 in or 216 x 140 mm (Demy 8vo) Perfect Bound on Creme w/Gloss Lam.

Condition: New. Print on Demand pp. 100.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnDavid McDowall is editor of the Journal of Quantitative Criminology. He also is co-director of the Violence Research Group, a collaborative research effort that studies patterns of interpersonal violence.Professor .…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.