Time series analysis in the social sciences : the fundamentals /

Shin's book is an introduction to time series analysis aimed at graduate students and researchers in the social sciences. Readers are expected to have some background in statistics, but the author attempts to avoid the more sophisticated mathematics (such as linear algebra) that is typical in books on time series. In an example that extends throughout the book, data on violent crime rates in the US is analyzed. The example illustrates time series modeling techniques, important assumptions, diagnostics for detecting violations of the assumptions, and methods for forecasting future trends. The best aspect of this book is its use of graphics and the example data to illustrate important concepts in time series analysis. However, the subject is inherently mathematical, and the book ultimately fails in its attempt to be accessible to readers who have limited mathematical backgrounds. Furthermore, because the book does not include exercises and does not discuss specific software for time series analysis, it will be difficult for readers to learn the subject from this book without substantial additional help. Summing Up: Not recommended. --Brian Borchers, New Mexico Institute of Mining and Technology