Learn about time series ACF and PACF in Stata with data from the NOAA Global Climate at a Glance (1910-2015) /
This dataset is designed for teaching how to plot an autocorrelation function (ACF) and a partial autocorrelation function (PACF) for a single time series variable. The dataset is a subset of data derived from the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance websit...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2020.
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| Subjects: | |
| Online Access: | Connect to the full text of the electronic book |
| Summary: | This dataset is designed for teaching how to plot an autocorrelation function (ACF) and a partial autocorrelation function (PACF) for a single time series variable. The dataset is a subset of data derived from the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance website, and the example explores average land temperature deviations in Asia measured annually from 1910 to 2015. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. The Student Guide and data curation was done by the Odum Institute; the How-to Guide was coauthored by Abigail-Kate Reid and Nick Allum. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781529710397 1529710391 |