Practical Time Series Analysis Using Sas
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Practical Time Series Analysis Using Sas
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Author : Anders Milhoj
language : en
Publisher:
Release Date : 2013
Practical Time Series Analysis Using Sas written by Anders Milhoj and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
Anders Milhøj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time series analysis. It offers modern procedures for forecasting, seasonal adjustments, and decomposition of time series that can be used without involved statistical reasoning. The book teaches, with numerous examples, how to apply these procedures with very simple coding. In addition, it also gives the statistical background for interested readers. Beginning with an introductory chapter that covers the practical handling of time series data in SAS using the TIMESERIES and EXPAND procedures, it goes on to explain forecasting, which is found in the ESM procedure; seasonal adjustment, including trading-day correction using PROC X12; and unobserved component models using the UCM procedure. This book is part of the SAS Press program.
Practical Time Series Analysis Using Sas Hardcover Edition
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Author : Anders Milhøj
language : en
Publisher:
Release Date : 2013-04
Practical Time Series Analysis Using Sas Hardcover Edition written by Anders Milhøj and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04 with Computers categories.
Anders Milhøj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time series analysis. It offers modern procedures for forecasting, seasonal adjustments, and decomposition of time series that can be used without involved statistical reasoning. The book teaches, with numerous examples, how to apply these procedures with very simple coding. In addition, it also gives the statistical background for interested readers. Beginning with an introductory chapter that covers the practical handling of time series data in SAS using the TIMESERIES and EXPAND procedures, it goes on to explain forecasting, which is found in the ESM procedure; seasonal adjustment, including trading-day correction using PROC X12; and unobserved component models using the UCM procedure. This book is part of the SAS Press program.
Time Series Analysis Using Sas Enterprise Guide
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Author : Timina Liu
language : en
Publisher: Springer
Release Date : 2020-02-20
Time Series Analysis Using Sas Enterprise Guide written by Timina Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with Computers categories.
This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.
An Introduction To Time Series Analysis And Forecasting
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Author : Robert A Yaffee
language : en
Publisher: Academic Press
Release Date : 2000-05-15
An Introduction To Time Series Analysis And Forecasting written by Robert A Yaffee and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-15 with categories.
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
Journal Of The American Statistical Association
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Author :
language : en
Publisher:
Release Date : 2004
Journal Of The American Statistical Association written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Statistics categories.
Practical Time Series Analysis
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Author : Aileen Nielsen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-20
Practical Time Series Analysis written by Aileen Nielsen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Computers categories.
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
Technometrics
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Author :
language : en
Publisher:
Release Date : 2005
Technometrics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Experimental design categories.
Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1997
Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematical statistics categories.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
An Introduction To Time Series Analysis And Forecasting
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Author : Robert Alan Yaffee
language : en
Publisher: Elsevier
Release Date : 2000-05-12
An Introduction To Time Series Analysis And Forecasting written by Robert Alan Yaffee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-12 with Mathematics categories.
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. 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. - Describes principal approaches to time series analysis and forecasting - Presents examples from public opinion research, policy analysis, political science, economics, and sociology - Math level pitched to general social science usage - Glossary makes the material accessible for readers at all levels
New Zealand Journal Of Ecology
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Author :
language : en
Publisher:
Release Date : 2003
New Zealand Journal Of Ecology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Ecology categories.