Time Series Analysis in the Social Sciences

The Fundamentals

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Crimes & Criminals, Criminology
Cover of the book Time Series Analysis in the Social Sciences by Youseop Shin, University of California Press
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Author: Youseop Shin ISBN: 9780520966383
Publisher: University of California Press Publication: January 31, 2017
Imprint: University of California Press Language: English
Author: Youseop Shin
ISBN: 9780520966383
Publisher: University of California Press
Publication: January 31, 2017
Imprint: University of California Press
Language: English

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and residuals, to the evaluation and prediction of estimated models. The book also explains smoothing, multiple time series analysis, and interrupted time series analysis. With a wealth of practical advice and supplemental data sets wherein students can apply their knowledge, this flexible and friendly primer is suitable for all students in the social sciences.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and residuals, to the evaluation and prediction of estimated models. The book also explains smoothing, multiple time series analysis, and interrupted time series analysis. With a wealth of practical advice and supplemental data sets wherein students can apply their knowledge, this flexible and friendly primer is suitable for all students in the social sciences.

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