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Design and Analysis of Time Series Experiments by Bartos, Bradley J.; McCleary, Richard; McDowall, David is a nonfiction available to read on EtoBox.

What is Design and Analysis of Time Series Experiments about?

Design and Analysis of Time Series Experiments presents the elements of statistical time series analysis while also addressing recent developments in research design and causal modeling. A distinguishing feature of the book is its integration of design and analysis of time series experiments. Readers learn not only how-to skills but also the underlying rationales for design features and analytical methods. ARIMA algebra, Box-Jenkins-Tiao models and model-building strategies, forecasting, and Box-Tiao impact models are developed in separate chapters. The presentation of the models and model-building assumes only exposure to an introductory statistics course, with more difficult mathematical material relegated to appendices. Separate chapters cover threats to statistical conclusion validity, internal validity, construct validity, and external validity with an emphasis on how these threats arise in time series experiments. Design structures for controlling the threats are presented and illustrated through examples. The chapters on statistical conclusion validity and internal validity introduce Bayesian methods, counterfactual causality, and synthetic control group designs. Buil

Who reads Design and Analysis of Time Series Experiments?

Author

Bartos, Bradley J.; McCleary, Richard; McDowall, David

Publisher

Oxford University Press, Incorporated

Published

2017

Language

EN

ISBN

9780190661564

Category

nonfiction

Subjects

Science, Sociology, Medical