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An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS - ska51 - 06-08-2011 An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS® An Introduction to Time Series Analysis and Forecasting: with Applications of SAS and SPSS -by Robert A. Yaffee and Robert A. Yaffee (Author) Academic Press | ISBN: 0127678700 | 2000-04 | Code: *************************************** Best ska51 RE: An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS - 3fan - 06-08-2011 Code: *************************************** Moderator Note: Thanks 3fan for your great work and contributions in our forum! In cases like this, where it is responding to a request, consider creating a new complete post, using the forum POSTGENERATOR, and this request section only place a link to the new post. Thus, we have a complete description of the book (software) and will be further enhancing the quality of the forum ... Regards, Dell Brett An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS - 3fan - 06-08-2011 An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS Author: Robert A. Yaffee | Size: 9 MB | Format: PDF | Publisher: Academic Press; 1 edition | Year: 2000 | pages: 528 | ISBN: 0127678700 , 978-0127678702
Review "Robert Yaffee has performed an invaluable service to students of time series analysis by preparing an introduction to methods for analyzing time series data that includes examples drawn from the social sciences, and demonstrates how to program the procedures in SPSS and SAS. Introduction to Time Series Analysis and Forecasting will be a standard reference for years to come." --DAVID F. GREENBERG, New York University, New York Product Description 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 Code: *************************************** RE: An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS - ska51 - 06-08-2011 Mirrors (Full credit goes to 3fan): Code: *************************************** RE: An Introduction to Time Series Analysis and Forecasting: with Applic of SAS and SPSS - Grunf - 06-09-2011 An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS® Author: Robert A. Yaffee (Author), Monnie McGee (Author) | Size: 8.97 MB | Format: PDF | Publisher: Academic Press; 1 edition | Year: May 11, 2000 | pages: 528 | ISBN: 0127678700, 9780127678702
Review "Robert Yaffee has performed an invaluable service to students of time series analysis by preparing an introduction to methods for analyzing time series data that includes examples drawn from the social sciences, and demonstrates how to program the procedures in SPSS and SAS. Introduction to Time Series Analysis and Forecasting will be a standard reference for years to come." --DAVID F. GREENBERG, New York University, New York Product Description 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 Code: *************************************** Paginated, Bookmarked, Searchable text. If you like this publication, CivilEA's team strongly suggest you to buy it! Support the authors! |