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Time series analysis for the social sciences /
"Time-series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time-series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time-Series Analysis for Social Sciences pr...
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| Format: | Printed Book |
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New York:
Cambridge University press,
2014.
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| Series: | Analytical methods for social research
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| Subjects: |
Table of Contents:
- Machine generated contents note: 1. Modeling social dynamics; 2. Univariate time-series models; 3. Dynamic regression models; 4. Modeling the dynamics of social systems; 5. Univariate, nonstationary processes: tests and modeling; 6. Co-integration and error-correction models; 7. Selections on time-series analysis; 8. Concluding thoughts for the time-series analyst.