Book description
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.
Table of contents
- Copyright
- Contents
- Preface
- Part 1: Time Series as a Subject for Analysis
- Chapter 1 Time Series Data
- Part 2: Time Series in SAS
- Chapter 2 Datetime Variables in SAS
- Chapter 3 Aggregation Using PROC TIMESERIES
- Chapter 4 Interpolation Using PROC EXPAND
- Part 3: Forecasting
- Chapter 5 Exponential Smoothing of Nonseasonal Series
- Chapter 6 Forecasting by Exponential Smoothing of Seasonal Series
- Chapter 7 Exponential Smoothing versus Parameterized Models
- Part 4: Seasonal Adjustments
- Chapter 8 Basic Adjustments Using the Census X11 Method
- Chapter 9 Additional Facilities in PROC X12
- Part 5: Unobserved Components Models
- Chapter 10 Models with Unobserved Components
- Chapter 11 Analysis of Danish Fertility Using PROC UCM
- Chapter 12 Analysis of US E-Commerce Using PROC UCM
- Chapter 13 An Analysis of the Arctic Ice Coverage Series Using Unobserved Components
- References
- Index
- Accelerate Your SAS Knowledge with SAS Books
Product information
- Title: Practical Time Series Analysis Using SAS
- Author(s):
- Release date: April 2013
- Publisher(s): SAS Institute
- ISBN: 9781612906249
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