• Anglický jazyk

Mcdowall, D: Interrupted Time Series Analysis

Autor: David Mcdowall

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... Viac o knihe

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O knihe

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

  • Vydavateľstvo: Sage Publications
  • Rok vydania: 1980
  • Formát: Paperback
  • Rozmer: 216 x 140 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9780803914933

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