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Benjamin Percy: IMG The Roof People



My sister slept with the light on until she was 27. She rightfully blames me. I would leap out of closets with my hands made into claws. I would... Continue »
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Quantitative Applications in the Social Sciences #21: Interrupted Time Series Analysis

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Quantitative Applications in the Social Sciences #21: Interrupted Time Series Analysis Cover

 

Synopses & Reviews

Synopsis:

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 fro

Synopsis:

Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.

Product Details

ISBN:
9780803914933
Introduction:
Weber, Ronald E.
Author:
McCleary, Richard
Author:
McDowall, David
Author:
Meidinger, Errol E.
Author:
Hay, Richard A., Jr.
Publisher:
Sage Publications (CA)
Location:
Beverly Hills, Calif. :
Subject:
General
Subject:
Statistics
Subject:
Research
Subject:
Social sciences
Subject:
Time-series analysis
Subject:
Prediction theory
Subject:
Social sciences -- Statistical methods.
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Description:
Includes bibliographical references.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
21
Publication Date:
19800831
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
96
Dimensions:
7.98x6.02x.23 in. .26 lbs.

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Related Subjects

History and Social Science » Sociology » Reference and Methodology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #21: Interrupted Time Series Analysis Used Pamphlet
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Product details 96 pages Sage Publications - English 9780803914933 Reviews:
"Synopsis" by , 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 fro

"Synopsis" by , Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.
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