Design and Analysis of Time Series Experiments (Paperback)
  • Design and Analysis of Time Series Experiments (Paperback)

Design and Analysis of Time Series Experiments (Paperback)

(author), (author), (author)
Paperback 392 Pages / Published: 29/06/2017
  • We can order this

Usually dispatched within 1 week

  • This item has been added to your basket
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. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, Design and Analysis of Time Series Experiments is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. Readers learn not only how-to skills but, also the underlying rationales for the design features and the 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. Building on the earlier of the authors, Design and Analysis of Time Series Experiments includes more recent developments in modeling, and considers design issues in greater detail than any existing work. Additionally, the book appeals to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference.

Publisher: Oxford University Press Inc
ISBN: 9780190661564
Number of pages: 392
Weight: 584 g
Dimensions: 234 x 173 x 23 mm

You may also be interested in...

Mostly Harmless Econometrics
Added to basket
Majority Judgment
Added to basket
Essentials of Econometrics (Int'l Ed)
Added to basket
Mastering 'Metrics
Added to basket
Econometrics by Example
Added to basket
Econometrics For Dummies
Added to basket
Poor Numbers
Added to basket
Microeconometrics Using Stata
Added to basket
The Skeptical Environmentalist
Added to basket
Encyclopedia of Chart Patterns
Added to basket

Please sign in to write a review

Your review has been submitted successfully.