Overview

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.

Full Product Details

9781612901701

Table of Contents

Reviews

In his book Practical Time Series Analysis Using SAS, Anders Milh j does a great job presenting the balance between real life data, SAS coding examples, and the principles of time series data and forecasting. He presents the foundations of univariate time series forecasting in a methodical and structured framework, helping the reader understand time series and how to decompose them using various approaches. -- Tim Rey, Director, Advanced Analytics, Business Services The Dow Chemical Company

Author Information

Anders Milhoj is Associate Professor in the Department of Economics at the University of Copenhagen, where he conducts research and lectures on applied statistics topics including survey sampling, regression analysis, time series analysis, and factor analysis. A SAS user since 1984, he employs a variety of SAS procedures in his work, such as SAS/STAT, SAS/IML, SAS/ETS, and SAS/OR. He holds university degrees in statistics and mathematics as well as a Ph.D. in statistics, all from the University of Copenhagen.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available