Interrupted Time Series Analysis - Richard McCleary,David Mcdowall,Errol E. Meidinger
-35% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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
Lisätietoja
| Kirjoittaja | Richard McCleary, David Mcdowall, Errol E. Meidinger |
|---|---|
| Julkaisija | Sage Publications |
| Julkaisuvuosi | 1980 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9780803914933 |