Learning Statistics. Episode 22, Time Series Analysis
(2019, original release: 2017)
Nonfiction
eCourse
Details
PUBLISHED
The Great Courses, 2017
[San Francisco, California, USA] : Kanopy Streaming, 2019
[San Francisco, California, USA] : Kanopy Streaming, 2019
DESCRIPTION
1 online resource (streaming video file) (34 minutes): digital, .flv file, sound
ISBN/ISSN
6733204
LANGUAGE
English
NOTES
Title from title frames
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
Film
In Process Record
Talithia Williams
Originally produced by The Great Courses in 2017
Mode of access: World Wide Web
In English