A Practical Guide to Time Series Analysis

Suzanna Linn

ISBN 10: 1108418538 / ISBN 13: 9781108418539

Edité par Cambridge University Press, 2026

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Understanding change over time is a critical component of social science. However, data measured over time - time series - requires their own set of statistical and inferential tools. Inthis book,Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications usingexamples. Theguideoutlines the steps taken to identify a series, make determinations about exogeneity/endogeneity, and make appropriate modelling decisions and inferences. Detailing challenges and explanations of key techniques not covered in most time series textbooks, the authors show how navigating between data and models, deliberately and transparently, allows researchers to clearly explain their statistical analyses to a broad audience.

N° de réf. du vendeur 9781108418539

Détails bibliographiques

• Titre: A Practical Guide to Time Series Analysis
• Éditeur: Cambridge University Press
• Date de parution: 2026
• Langue: anglais
• ISBN à 10 chiffres: 1108418538
• ISBN à 13 chiffres: 9781108418539
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 235 L x 157 H x 37 P (en millimètres) 235 millimètres de largeur par 157 millimètres de hauteur par 37 millimètres de profondeur
• Poids: 1037 grammes

A propos de ce titre

Synopsis

Understanding change over time is a critical component of social science. However, data measured over time – time series – requires their own set of statistical and inferential tools. In this book, Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications using examples. The guide outlines the steps taken to identify a series, make determinations about exogeneity/endogeneity, and make appropriate modelling decisions and inferences. Detailing challenges and explanations of key techniques not covered in most time series textbooks, the authors show how navigating between data and models, deliberately and transparently, allows researchers to clearly  explain their statistical analyses to a broad audience.

À propos des auteurs

Suzanna Linn is Distinguished Professor of Political Science in the Department of Political Science at Penn State University. She is a Fellow of the Society for Political Methodology and its immediate past president. She serves as associate editor of the Society's journal Political Analysis. Linn has served on the APSA and Midwest Political Science Association Councils. Her innovative research in political methodology and behavior appears in leading journals. Her book The Decline of the Death Penalty (Cambridge, 2008) won the Kammerer Award for best book on US national policy.

Matthew J. Lebo is Professor of Political Science and Director of the Centre for Computational and Quantitative Social Science at Western University. His expertise is in political methodology and American politics. He has been a post-doctoral fellow at Harvard, Academic Visitor at Oxford, and a Visiting Professor at the University of Toronto and McGill University.

Clayton Webb is an associate professor of Political Science at the University of Kansas. He received his Ph.D. from Texas A&M University. His areas of expertise are Political Methodology and International Relations. His work has been featured in Political Analysis, the American Journal of Political Science, and International Studies Quarterly.