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Interrupted Time Series Analysis

McDowall

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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 AutoRegressive 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.

Accessories:

No Accessory

Publisher

OXFORD UNIV PR

Bisac Major Subject

Mathematics

Binding Type

Paperback

Country Of Origin

Number Of Units

Length

9.1 Inches

Barcode Indicator

EAN

Width

6.1 Inches

Publication Date

1970-01-01

Height

0.6 Inches

ISBN 10

0190943955

Weight

0.65 Pounds

Book EAN

9780190943950

Target Audiance

Adults

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Interrupted Time Series Analysis