Interrupted Time Series Analysis – Ebook Instant Download/Delivery ISBN(s): 9780190943974, 0190943971

Product details:

• ISBN-10: 0190943971
• ISBN-13: 9780190943974
• Author: David McDowall, Richard McCleary, Bradley J. Bartos
  

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. It provides example analyses of social, behavioral, and biomedical time series to illustrate a general strategy for building Auto Regressive Integrated Moving Average (ARIMA) impact models. Additionally, the book supplements the classic Box-Jenkins-Tiao model-building strategy with recent auxiliary tests for transformation, differencing, and model selection. Not only does the text discuss new developments, including the prospects for widespread adoption of Bayesian hypothesis testing and synthetic control group designs, but it makes optimal use of graphical illustrations in its examples. With forty completed example analyses that demonstrate the implications of model properties, Interrupted Time Series Analysis will be a key inter-disciplinary text in classrooms, workshops, and short-courses for researchers familiar with time series data or cross-sectional regression analysis but limited background in the structure of time series processes and experiments.

Table contents:

1 Introduction to ITSA

2 ARIMA Algebra

3 The Noise Component: N(at)

4 The Intervention Component: X(It)

5 Auxiliary Modeling Procedures

6 Into the Future

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