An edition of Interrupted time series analysis
(1980)
Interrupted time series analysis
by David McDowall, David McDowall, Richard McCleary, Errol Meidinger, and Richard A., Jr. Hay
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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.
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Subjects
Statistical methods, Time-series analysis, Social sciences, Applied mathematics, Science/Mathematics, Statistical Methods In The Social Sciences, Social Science, Mathematics, Sociology, Probability & Statistics - General, Research, Mathematics / Statistics, Social Science / Research, Social Science-Research, Statistics, Experimental design, Social sciences, statistical methods, Interrupted Time Series Analysis, Statistics as Topic, Methods| Edition | Availability |
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Interrupted Time Series Analysis
2019, Oxford University Press, Incorporated
in English
0190943947 9780190943943
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Interrupted Time Series Analysis
2019, Oxford University Press, Incorporated
in English
0190943955 9780190943950
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Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)
August 1, 1980, Sage Publications, Inc
Paperback
in English
0803914938 9780803914933
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Book Details
Edition Notes
"A Sage university paper."
Includes bibliiographical references (p. 94-95).
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