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Lingua: Inglese
Editore: Oxford University Press Inc, New York, 2019
ISBN 10: 0190943955 ISBN 13: 9780190943950
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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. Interrupted Time Series Analysis offers a focused treatment of analytic models and methods for drawing causal inferences from time series. It provides a toolbox for researchers in a number of social science disciplines, including sociology, criminology, political science, psychology, education, and public health where researcher needs to assess the impact of changes in law, policy, and major historical events on behavior, or test and measure the impact oftreatments or interventions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Oxford University Press Inc, 2017
ISBN 10: 0190661569 ISBN 13: 9780190661564
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 67,30
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Aggiungi al carrelloCondizione: New. Num Pages: 392 pages. BIC Classification: GPS; JHB; JKV; KCH. Category: (G) General (US: Trade). Dimension: 235 x 156. . . . Paperback. . . . .
EUR 64,36
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Lingua: Inglese
Editore: Oxford University Press Inc, 2017
ISBN 10: 0190661569 ISBN 13: 9780190661564
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 84,14
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Aggiungi al carrelloCondizione: New. Num Pages: 392 pages. BIC Classification: GPS; JHB; JKV; KCH. Category: (G) General (US: Trade). Dimension: 235 x 156. . . . Paperback. . . . . Books ship from the US and Ireland.
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EUR 109,58
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 368 pages. 9.25x6.25x1.00 inches. In Stock.
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EUR 138,94
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Da: Revaluation Books, Exeter, Regno Unito
EUR 70,36
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 368 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Oxford University Press Inc, 2019
ISBN 10: 0190943947 ISBN 13: 9780190943943
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 108,71
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Oxford University Press Inc, New York, 2017
ISBN 10: 0190661569 ISBN 13: 9780190661564
Da: CitiRetail, Stevenage, Regno Unito
EUR 64,29
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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 andmodel-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, andsynthetic control group designs. Building on the earlier time series books by McCleary and McDowall, Design and Analysis of Time Series Experiments includes recent developments inmodeling, and considers design issues in greater detail than does any existing work. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, the text is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. It will appeal to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference. Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, it addresses researchers and graduate students in a wide range of the behavioral, biomedical and social sciences. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press Inc, 2019
ISBN 10: 0190943947 ISBN 13: 9780190943943
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 106,75
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Oxford University Press Inc, 2017
ISBN 10: 0190661550 ISBN 13: 9780190661557
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 129,70
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Oxford University Press Inc, New York, 2019
ISBN 10: 0190943947 ISBN 13: 9780190943943
Da: CitiRetail, Stevenage, Regno Unito
EUR 111,32
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. 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 makesoptimal 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. Interrupted Time Series Analysis offers a focused treatment of analytic models and methods for drawing causal inferences from time series. It provides a toolbox for researchers in a number of social science disciplines, including sociology, criminology, political science, psychology, education, and public health where researcher needs to assess the impact of changes in law, policy, and major historical events on behavior, or test and measure the impact oftreatments or interventions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press Inc, New York, 2017
ISBN 10: 0190661550 ISBN 13: 9780190661557
Da: CitiRetail, Stevenage, Regno Unito
EUR 134,55
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 andmodel-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, andsynthetic control group designs. Building on the earlier time series books by McCleary and McDowall, Design and Analysis of Time Series Experiments includes recent developments inmodeling, and considers design issues in greater detail than does any existing work. Drawing examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, the text is addressed to researchers and graduate students in a wide range of behavioral, biomedical and social sciences. It will appeal to those who want to conduct or interpret time series experiments, as well as to those interested in research designs for causal inference. Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, it addresses researchers and graduate students in a wide range of the behavioral, biomedical and social sciences. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press OUP, 2019
ISBN 10: 0190943947 ISBN 13: 9780190943943
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 217,58
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.