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Learn about time series ACF and PACF in SPSS with data from EPA's Air Quality System Data Mart (2017) /

This dataset is designed for teaching the autocorrelation function (ACF) and the partial autocorrelation function (PACF) for a time series. The dataset is a subset of data derived from the Environmental Protection Agency's (EPA's) Air Quality System Data Mart, and the example examines the...

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Bibliographic Details
Main Author: Shi, Feng, active 2019 (Author)
Corporate Author: Howard W. Odum Institute for Research in Social Science (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2019.
Subjects:
SPSS (Computer file)
Autocorrelation (Statistics)
Functions.
Time-series analysis > Study and teaching.
Data sets.
Air quality > New York (State)
Datasets as Topic
Autocorrélation (Statistique)
Fonctions (Mathématiques)
Série chronologique > Étude et enseignement.
Jeux de données.
Air > Qualité > New York (État)
functions (mathematics)
Air quality
Data sets
Functions
New York (State)
Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset is designed for teaching the autocorrelation function (ACF) and the partial autocorrelation function (PACF) for a time series. The dataset is a subset of data derived from the Environmental Protection Agency's (EPA's) Air Quality System Data Mart, and the example examines the time series of daily air quality in the New York county in the United States in the year 2017. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.
Physical Description:1 online resource : illustrations
ISBN:9781526468697
1526468697