Learning Statistics Episode 22, Time Series Analysis Episode 22, Time Series Analysis.
Streaming video - 2017
Time series analysis provides a way to model response data that is correlated with itself, from one point in time to the next, such as daily stock prices or weather history. After disentangling seasonal changes from longer-term patterns, consider methods that can model a dependency on time, collectively known as ARIMA (autoregressive integrated moving average) models.
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[San Francisco, California, USA] :
The Great Courses
2017.
2019. - Language
- English
- Other Authors
- Online Access
- A Kanopy streaming video
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- Title from title frames.
Film
In Process Record. - Physical Description
- 1 online resource (streaming video file) (34 minutes): digital, .flv file, sound
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- Mode of access: World Wide Web.
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- AVAILABLE FOR USE ONLY BY IOWA CITY AND RESIDENTS OF THE CONTRACTING GOVERNMENTS OF JOHNSON COUNTY, UNIVERSITY HEIGHTS, HILLS, AND LONE TREE (IA).