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Our applied guide is for students analysing data over time. For example, approval ratings, economic measures, and international conflicts. Time series data requires its own set of advanced statistical tools which we outline as simply as possible. Detailed examples help readers navigate the complicated process of learning from temporal data.
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.
Get A Practical Guide to Time Series Analysis by Clayton Webb, Matthew J. Lebo at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has 552 pages.
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