The Effect: An Introduction to Research Design and Causality, Huntington-Klein Nick

Автор: Huntington-klein, Nick
Название: Effect
ISBN: 1032580224 ISBN-13(EAN): 9781032580227
Издательство: Taylor&Francis
Цена: 40820 T

Автор: Huntington-Klein Nick
Название: The Effect: An Introduction to Research Design and Causality
ISBN: 1032127457 ISBN-13(EAN): 9781032127453
Издательство: Taylor&Francis
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Цена: 86760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject.

Автор: B. Sreenivasulu et al.
Название: Causality Tests In Econometrics: Choice of Causal Variables
ISBN: 3659504041 ISBN-13(EAN): 9783659504044
Издательство: LAP LAMBERT Academic Publishing
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Цена: 49810.00 T
Наличие на складе: Нет в наличии.
Описание: In the Present Book Chapter-I is an introductory one.Chapter-II describes the concept and causal relations by econometric models. It presents the different representations such as autoregressive, Moving – average and univariate representation of causality. Chapter-III explore lucidly the various tests for causality, we come across in econometrics. In regression analysis, researchers are interested in testing for the exogenity of variables this testing is closely related to the causality test proposed by Granger, which is explained in detail in this chapter. Chapter-IV gives the conclusions about the present study.The various relevant research articles have been presented under the title BIBLIOGRAPHY.

Автор: Fan Yang; Ping Duan; Sirish L. Shah; Tongwen Chen
Название: Capturing Connectivity and Causality in Complex Industrial Processes
ISBN: 3319053795 ISBN-13(EAN): 9783319053790
Издательство: Springer
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Цена: 46570.00 T
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Описание: Introduction.- Examples of Applications for Connectivity and Causality Analysis.- Description of Connectivity and Causality.- Capturing Connectivity and Causality from Process Knowledge.- Capturing Causality from Process Data.- Case Studies.

Автор: Mervi Eerola
Название: Probabilistic Causality in Longitudinal Studies
ISBN: 0387943676 ISBN-13(EAN): 9780387943671
Издательство: Springer
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Цена: 107130.00 T
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Описание: In many applied fields of statistics the concept of causality is central to a scientific investigation. The author`s aim in this book is to extend the classical theories of probabilistic causality to longitudinal settings and to propose that interesting causal questions can be related to causal effects which can change in time.

Автор: Samantha Kleinberg
Название: Time and Causality Across the Sciences
ISBN: 1108476678 ISBN-13(EAN): 9781108476676
Издательство: Cambridge Academ
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Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an entry point for researchers in any field, bringing together perspectives collected from a large body of work on causality across disciplines. Topics include whether quantum mechanics allows causes to precede their effects, the integration of mechanisms, and insight into the role played by intervention and timing information.

Автор: Karl Svozil
Название: Physical (A)Causality
ISBN: 3319708147 ISBN-13(EAN): 9783319708140
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book is open access under a CC BY 4.0 license.This book addresses the physical phenomenon of events that seem to occur spontaneously and without any known cause.

Автор: Judea Pearl
Название: Causality: A Primer
ISBN: 1119186846 ISBN-13(EAN): 9781119186847
Издательство: Wiley
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Цена: 33740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality.

Автор: Mark J. van der Laan; James M Robins
Название: Unified Methods for Censored Longitudinal Data and Causality
ISBN: 1441930558 ISBN-13(EAN): 9781441930552
Издательство: Springer
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Цена: 153720.00 T
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Описание: A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. The techniques go beyond standard statistical approaches and can be used to teach masters and Ph.D. The text is ideally suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.

Автор: Ahmed
Название: Evidence, Decision and Causality
ISBN: 1316641546 ISBN-13(EAN): 9781316641545
Издательство: Cambridge Academ
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Цена: 33790.00 T
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Описание: Aimed at philosophers and those with an interest in rational choice. Economic theory, quantum mechanics and voting all seem to illustrate a deep puzzle about the practical role of causality. This book advances the debate, introduces many new examples and assesses the practical relevance of the philosophical discussion.

Автор: D. Costantini; Maria Carla Galavotti
Название: Probability, Dynamics and Causality
ISBN: 9401064091 ISBN-13(EAN): 9789401064095
Издательство: Springer
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Цена: 46570.00 T
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Автор: Berzuini C
Название: Causality: Statistical Perspectives and Applications
ISBN: 0470665564 ISBN-13(EAN): 9780470665565
Издательство: Wiley
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Цена: 71750.00 T
Наличие на складе: Поставка под заказ.
Описание: Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum.

Автор: Hofer-Szabу Gбbor, Wroński Leszek
Название: Making It Formally Explicit: Probability, Causality and Indeterminism
ISBN: 3319856731 ISBN-13(EAN): 9783319856735
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects research papers on the philosophical foundations of probability, causality, spacetime and quantum theory.