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Introduction to Time Series Analysis and Forecasting
Résumé
Key Features:
- Describes principal approaches to time series analysis
and forecasting
- Presents examples from public opinion research, policy
analysis, political science, economics, and sociology
- Free Web site contains the data used in most chapters,
facilitating learning
- Math level pitched to general social science
usage
- Glossary makes the material accessible for readers at all levels
Benefits:
- Explains a variety of methods of time series analysis
and forecasting for those with a basic backround in college
mathematics
- Gives criteria and means of evaluating models and
forecasts
- Shows that the more complex models are not always the
most accurate
- Explains methods that improve existing forecasts
- Finds required sample sizes for adequate statistical
power in common models
- Teaches how to apply these techniques using SAS and
SPSS
- Examples from areas of topical interest in the social sciences--political science, sociology, economics, and policy analysis. Examinations include trends in international terrorism; electoral impact analysis; the background and impact of presidential scandals on public perceptions of job performance; the decline in defense and space spending; public trust in government
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Apress |
Auteur(s) | Robert Yaffee, Monnie Mcgee |
Parution | 15/03/2000 |
Nb. de pages | 496 |
EAN13 | 9780127678702 |
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