Introduction to Time Series Analysis

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Introduction to Time Series Analysis by Mark Alexander Pickup, SAGE Publications
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Author: Mark Alexander Pickup ISBN: 9781483324548
Publisher: SAGE Publications Publication: October 15, 2014
Imprint: SAGE Publications, Inc Language: English
Author: Mark Alexander Pickup
ISBN: 9781483324548
Publisher: SAGE Publications
Publication: October 15, 2014
Imprint: SAGE Publications, Inc
Language: English

Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of—and the assumptions underlying—common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models.

 

“This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model.”  —William G. Jacoby, Michigan State University

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Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of—and the assumptions underlying—common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models.

 

“This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model.”  —William G. Jacoby, Michigan State University

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