Modeling Trend, Cycles, and Seasonality in Time Series Data Using PROC UCM
Business Knowledge Series course
Presented by Terry Woodfield, Ph.D., Analytical Training Consultant, Education Division, SAS
This class teaches how to model, interpret, and predict time series data using UCMs. The UCM procedure analyzes and forecasts equally spaced univariate time series data using the Unobserved Components Models (UCM).Learn how to
Who should attendThose who want to analyze time series data to uncover patterns such as trend, seasonal effects, and cycles using the latest techniques
Before attending this course, you should:
This course addresses SAS/ETS software.
Introduction to Unobserved Components Models
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This course is not currently scheduled in the classroom. Contact us to discuss public schedule dates or private training options for your group.