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Learn about time series ACF and PACF in Stata with data from the USDA Feed Grains Database (1876-2015) /

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. Department of Agriculture (USDA) Database, and the example examines trends in ann...

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Bibliographic Details
Main Authors: Reid, Abigail-Kate (Author), Allum, Nick (Author)
Corporate Author: Odum Institute (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2020.
Subjects:
Stata.
Time-series analysis.
Grain as feed > Statistics > Databases.
Statistics > Computer programs.
Série chronologique.
Céréales fourragères > Statistiques > Bases de données.
Statistique > Logiciels.
Grain as feed.
Databases.
Statistics.
Online Access:Connect to the full text of the electronic book
Description
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. Department of Agriculture (USDA) Database, and the example examines trends in annual oats yield per acre in bushels from 1876 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.
Physical Description:1 online resource : illustrations
ISBN:9781529710298
1529710294