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Direction Dependence in Statistical Modeling: Methods of Analysis, Wiedermann Wolfgang, Kim Daeyoung, Sungur Engin


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Автор: Wiedermann Wolfgang, Kim Daeyoung, Sungur Engin
Название:  Direction Dependence in Statistical Modeling: Methods of Analysis
ISBN: 9781119523079
Издательство: Wiley
Классификация:
ISBN-10: 1119523079
Обложка/Формат: Hardcover
Страницы: 432
Вес: 0.67 кг.
Дата издания: 06.10.2020
Язык: English
Размер: 233 x 157 x 25
Читательская аудитория: Professional & vocational
Подзаголовок: Methods of analysis
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

Covers the latest developments in direction dependence research

Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow.

The book covers several topics in-depth, including:

  • A demonstration of the importance of methods for the analysis of direction dependence hypotheses
  • A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations
  • A review of methods of direction dependence following the copula-based tradition of Sungur and Kim
  • A presentation of extensions of direction dependence methods to the domain of categorical data
  • An overview of algorithms for causal structure learning

The books fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.



Dependence Modeling with Copulas

Автор: Joe Harry
Название: Dependence Modeling with Copulas
ISBN: 1466583223 ISBN-13(EAN): 9781466583221
Издательство: Taylor&Francis
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Цена: 14545.00 р.
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Описание:

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also discusses other multivariate constructions and parametric copula families that have different tail properties and presents extensive material on dependence and tail properties to assist in copula model selection.

The author shows how numerical methods and algorithms for inference and simulation are important in high-dimensional copula applications. He presents the algorithms as pseudocode, illustrating their implementation for high-dimensional copula models. He also incorporates results to determine dependence and tail properties of multivariate distributions for future constructions of copula models.

Long-Range Dependence and Self-Similarity

Автор: Pipiras
Название: Long-Range Dependence and Self-Similarity
ISBN: 1107039460 ISBN-13(EAN): 9781107039469
Издательство: Cambridge Academ
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Цена: 13939.00 р.
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Описание: Real-world time series rarely satisfy simple assumptions, often exhibiting long-range dependence. Ignoring this undermines accurate detection of trends and other important behavior. This text for graduate students and researchers in statistics and probability is also a reference for specialists in fields such as economics, finance, and hydrology.

Extreme Financial Risks / From Dependence to Risk Management

Автор: Malevergne Yannick, Sornette Didier
Название: Extreme Financial Risks / From Dependence to Risk Management
ISBN: 354027264X ISBN-13(EAN): 9783540272649
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Portfolio analysis and optimization, together with the associated risk assessment and management, require knowledge of the likely distributions of returns at different time scales and insights into the nature and properties of dependences between the different assets.This book offers an original and thorough treatment of these two domains, focusing mainly on the concepts and tools that remain valid for large and extreme price moves. Strong emphasis is placed on the theory of copulas and their empirical testing and calibration, because they offer intrinsic and complete measures of dependences.Extreme Financial Risks will be useful to: students looking for a general and in-depth introduction to the field; financial engineers, economists, econometricians, actuarial professionals; researchers and mathematicians looking for a synoptic view comparing the pros and cons of different modelling strategies; andquantitative practitioners for the insights offered on the subtleties and the many dimensional components of both risk and dependence. In toto, the content of this book will also be useful to a broader scientific community interested in quantifying the complexity of many natural and artificial processes in which a growing emphasis is on the role and importance of extreme phenomena.

Dependence Modeling: Vine Copula Handbook

Автор: Kurowicka Dorota Et Al
Название: Dependence Modeling: Vine Copula Handbook
ISBN: 9814299871 ISBN-13(EAN): 9789814299879
Издательство: World Scientific Publishing
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Цена: 20592.00 р.
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Описание: Research and applications in vines have been growing rapidly. This book traces historical developments, standardizing notation and terminology. It summarizes results on bivariate copulae and results for regular vines. It gives an overview of its applications.

Stochastic Ordering and Dependence in Applied Probability

Автор: R. Szekli
Название: Stochastic Ordering and Dependence in Applied Probability
ISBN: 0387944508 ISBN-13(EAN): 9780387944500
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This textbook has been designed as an introduction to stochastic orderings and dependence, and their applications to queues and the networks of queues. It is assumed that readers have a firm grounding in Lebesgue measure, conditional expectation and martingales.

Weak Dependence: With Examples and Applications

Автор: J?rome Dedecker; Paul Doukhan; Gabriel Lang; Jos?
Название: Weak Dependence: With Examples and Applications
ISBN: 0387699511 ISBN-13(EAN): 9780387699516
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Develops Doukhan/Louhichi`s 1999 idea to measure asymptotic independence of a random process.

Invariance and Structural Dependence

Автор: Jan Odelstad
Название: Invariance and Structural Dependence
ISBN: 354055260X ISBN-13(EAN): 9783540552604
Издательство: Springer
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Цена: 12157.00 р.
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Описание: For instance, a physical law states that one physical aspect is structurally dependent on one or more other aspects. Structural dependence is closely related to the mathematical idea of functional dependence. However, struc- tural dependence is primarily thought of as a relation holding between aspects rather than between their measures.

Heavy Tails And Copulas: Topics In Dependence Modelling In Economics And Finance

Автор: Ibragimov Rustam Et Al
Название: Heavy Tails And Copulas: Topics In Dependence Modelling In Economics And Finance
ISBN: 9814689793 ISBN-13(EAN): 9789814689793
Издательство: World Scientific Publishing
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Цена: 15523.00 р.
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Описание: 'Overall, the book is highly technical, including full mathematical proofs of the results stated. Potential readers are post-graduate students or researchers in Quantitative Risk Management willing to have a manual with the state-of-the-art on portfolio diversification and risk aggregation with heavy tails, including the fundamental theorems as well as collateral (but most useful) results on majorization and copula theory.'Quantitative Finance This book offers a unified approach to the study of crises, large fluctuations, dependence and contagion effects in economics and finance. It covers important topics in statistical modeling and estimation, which combine the notions of copulas and heavy tails -- two particularly valuable tools of today's research in economics, finance, econometrics and other fields -- in order to provide a new way of thinking about such vital problems as diversification of risk and propagation of crises through financial markets due to contagion phenomena, among others. The aim is to arm today's economists with a toolbox suited for analyzing multivariate data with many outliers and with arbitrary dependence patterns. The methods and topics discussed and used in the book include, in particular, majorization theory, heavy-tailed distributions and copula functions -- all applied to study robustness of economic, financial and statistical models, and estimation methods to heavy tails and dependence.

Fundamentals of the Theory of Structured Dependence between Stochastic Processes: Consistencies and Copulae

Автор: Tomasz R. Bielecki, Jacek Jakubowski, Mariusz Niew?glowski
Название: Fundamentals of the Theory of Structured Dependence between Stochastic Processes: Consistencies and Copulae
ISBN: 1107154251 ISBN-13(EAN): 9781107154254
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students.

Stochastic Ageing and Dependence for Reliability

Автор: Chin Diew Lai; R.E. Barlow; Min Xie
Название: Stochastic Ageing and Dependence for Reliability
ISBN: 144192129X ISBN-13(EAN): 9781441921291
Издательство: Springer
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Цена: 18167.00 р.
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Описание: A panoramic view of theory and applications of Ageing and Dependence in the use of mathematical methods in reliability and survival analysis. This book has applications, exercises, and examples, and serves as reference book for professors and researchers.

Copulas and Dependence Models with Applications

Автор: Manuel ?beda Flores; Enrique de Amo Artero; Fabriz
Название: Copulas and Dependence Models with Applications
ISBN: 3319642200 ISBN-13(EAN): 9783319642208
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents contributions and review articles on the theory of copulas and their applications.

Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.


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