000			01525nam a22002177a 4500
999			_c920 _d920
005			20210127115647.0
008			210127b ||||| |||| 00| 0 eng d
020			_a9780803914933
082			_a519.550243 _bMCD
100			_aMcDowall, David _92249
245			_aInterrupted time series analysis
260			_bSage Publications, Inc. _aBeverly Hills _c1980
300			_a96 p.
365			_aUSD _b30.00
490			_aQuantitative applications in the social sciences
520			_aDescription 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
650			_aSocial sciences--Statistical methods _91897
650			_aTime-series analysis _9176
650			_aSocial sciences--Mathematical models _92033
942			_2ddc _cBK