Design and Analysis of Time Series Experiments

Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, it addresses researchers and graduate students in a wide range of the behavioral, biomedical and social sciences.