Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Автор: Florian Auinger Название: The Causal Relationship between the S&P 500 and the VIX Index ISBN: 3658089687 ISBN-13(EAN): 9783658089689 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Florian Auinger highlights the core weaknesses and sources of criticism regarding the VIX Index as an indicator for the future development of financial market volatility.
Автор: L.Y Nordenfelt; B.I.B Lindahl Название: Health, Disease, and Causal Explanations in Medicine ISBN: 9027716609 ISBN-13(EAN): 9789027716606 Издательство: Springer Рейтинг: Цена: 21655.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On May 13-15, 1982, some 50 scientists and scholars - physicians, philos- ophers and social scientists - convened at Hasselby Castle in Stockholm for the first Nordic Symposium on the Philosophy of Medicine.
Автор: Stephen L. Morgan Название: Handbook of Causal Analysis for Social Research ISBN: 9400760930 ISBN-13(EAN): 9789400760936 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the tremendous progress of the past 15 years in the causal analysis of non-experimental data, also known as observational data, and shows how to use state-of-the-art methods for causal analysis in basic and applied empirical scholarship.
Автор: Gjalt de Jong; Bart Nooteboom Название: The Causal Structure of Long-Term Supply Relationships ISBN: 1461370418 ISBN-13(EAN): 9781461370413 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the past decades, research on strategic alliances -the class of interfirm arrangements to which long-term supply relationships belong- mushroomed. On the contrary, because of all these studies we now have some knowledge about the reasons why firms enter in alliances and why some alliances are more successful than others.
Автор: Thomas Shelley Duval; Paul J Silvia; Neal Lalwani Название: Self-Awareness & Causal Attribution ISBN: 1461355796 ISBN-13(EAN): 9781461355793 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Self-awareness - the ability to recognize one`s existence - is one of the most important variables in psychology. This theory addresses when people become self-focused, how people internalize and change personal standards, when people approach or avoid troubling situations, and the nature of self-evaluation.
Автор: Alex Gammerman Название: Causal Models and Intelligent Data Management ISBN: 3642636829 ISBN-13(EAN): 9783642636820 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new computational methods. This book presents new intelligent data management methods and tools, including new results from the field of inference.
Автор: L.Y Nordenfelt; B.I.B Lindahl Название: Health, Disease, and Causal Explanations in Medicine ISBN: 9400962851 ISBN-13(EAN): 9789400962859 Издательство: Springer Рейтинг: Цена: 21655.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On May 13-15, 1982, some 50 scientists and scholars - physicians, philos- ophers and social scientists - convened at Hasselby Castle in Stockholm for the first Nordic Symposium on the Philosophy of Medicine.
Автор: Federica Russo Название: Causality and Causal Modelling in the Social Sciences ISBN: 9048179963 ISBN-13(EAN): 9789048179961 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This investigation into causal modelling presents the rationale of causality; i.e. what guides reasoning in causal modeling. In contrast to the dominant paradigm, it argues that causal models are governed by a variation, rather than regularity or invariance.
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