Practical Time Series Analysis Using Sas


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Practical Time Series Analysis Using SAS


Practical Time Series Analysis Using SAS

Author: Anders Milhoj

language: en

Publisher:

Release Date: 2013


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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


Time Series Analysis Using SAS Enterprise Guide

Author: Timina Liu

language: en

Publisher: Springer Nature

Release Date: 2020-02-19


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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.

Multiple Time Series Modeling Using the SAS VARMAX Procedure


Multiple Time Series Modeling Using the SAS VARMAX Procedure

Author: Anders Milhoj

language: en

Publisher: SAS Institute

Release Date: 2016-01-11


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Aimed at econometricians who have completed at least one course in time series modeling, this comprehensive book will teach you the time series analytical possibilities that SAS offers today. --