Introduction to time series analysis and forecasting : with applications in 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,...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Diego :
Academic Press,
©2000.
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Temas: | |
Acceso en línea: | Texto completo |
Sumario: | 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 serie. |
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Descripción Física: | 1 online resource (xxv, 528 pages) : illustrations |
Bibliografía: | Includes bibliographical references and index. |
ISBN: | 9780080478708 0080478700 |