Interrupted Time Series Analysis (Hardcover)

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.

General

Imprint:	Oxford UniversityPress
Country of origin:	United States
Release date:	October 2019
Authors:	David McDowall (Distinguished Teaching Professor) • Richard McCleary (Professor of Criminology, Law, and Society and Planning, Policy and Design) • Bradley J. Bartos (Ph.D. Candidate)
Dimensions:	236 x 162 x 16mm (L x W x T)
Format:	Hardcover
Pages:	208
ISBN-13:	978-0-19-094394-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Education > Philosophy of education Books > Social sciences > Politics & government > Political science & theory Books > Business & Economics > Economics > Economic theory & philosophy Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Psychology > Psychological methodology > General Books > Medicine > General issues > Medical equipment & techniques > General
LSN:	0-19-094394-7
Barcode:	9780190943943

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