Learning Statistics: Concepts and Applications in R: Time Series Analysis
(eVideo)

Grouping Information

Hoopla Extract Information

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    [year] => 2017
    [artist] => Talithia Williams
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    [episode] => 22
    [language] => ENGLISH
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    [title] => Time Series Analysis
    [titleTitle] => Learning Statistics: Concepts and Applications in R
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    [duration] => 30m 0s
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    [synopsis] => 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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