An Introduction to Time Series Analysis and Forecasting: With

An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS®

Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. To enhance the book's value as a teaching tool, the data sets and programs used in the book are made available on the Academic Press Web site. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques.

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
Country USA
Brand Academic Press
Manufacturer Academic Press
Binding Hardcover
ItemPartNumber Illustrated
Model Illustrated
UnitCount 1
EANs 9780127678702
ReleaseDate 0000-00-00

Country	USA
Brand	Academic Press
Manufacturer	Academic Press
Binding	Hardcover
ItemPartNumber	Illustrated
Model	Illustrated
UnitCount	1
EANs	9780127678702
ReleaseDate	0000-00-00

An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS®

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