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Topics in modelling of clustered data, 


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Название:  Topics in modelling of clustered data
ISBN: 9780367396107
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367396106
Обложка/Формат: Paperback
Страницы: 336
Вес: 0.54 кг.
Дата издания: 05.09.2019
Язык: English
Размер: 152 x 228 x 23
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание:

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the contributions of leading specialists in the field, Topics in Modelling of Clustered Data describes the tools and techniques for modelling the clustered data often encountered in medical, biological, environmental, and social science studies. It focuses on providing a comprehensive treatment of marginal, conditional, and random effects models using, among others, likelihood, pseudo-likelihood, and generalized estimating equations methods.

The authors motivate and illustrate all aspects of these models in a variety of real applications. They discuss several variations and extensions, including individual-level covariates and combined continuous and discrete outcomes. Flexible modelling with fractional and local polynomials, omnibus lack-of-fit tests, robustification against misspecification, exact, and bootstrap inferential procedures all receive extensive treatment. The applications discussed center primarily, but not exclusively, on developmental toxicity, which leads naturally to discussion of other methodologies, including risk assessment and dose-response modelling.

Clearly written, Topics in Modelling of Clustered Data offers a practical, easily accessible survey of important modelling issues. Overview models give structure to a multitude of approaches, figures help readers visualize model characteristics, and a generous use of examples illustrates all aspects of the modelling process.




Computational Technologies: Advanced Topics

Автор: Petr N. Vabishchevich
Название: Computational Technologies: Advanced Topics
ISBN: 3110359944 ISBN-13(EAN): 9783110359947
Издательство: Walter de Gruyter
Цена: 9288.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

Topics in the Mathematical Modelling of Composite Materials

Автор: Andrej V. Cherkaev; Robert Kohn
Название: Topics in the Mathematical Modelling of Composite Materials
ISBN: 1461273900 ISBN-13(EAN): 9781461273905
Издательство: Springer
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Цена: 24392.00 р.
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Описание: This work has implications for many physical problems involving optimal design, composite materials, and coherent phase transitions. Still other work was published in standard books or journals, but written in Russian or French.

Topics in the Mathematical Modelling of Composite Materials

Автор: Cherkaev
Название: Topics in the Mathematical Modelling of Composite Materials
ISBN: 3319971832 ISBN-13(EAN): 9783319971834
Издательство: Springer
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Цена: 6097.00 р.
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Описание: Over the past several decades, we have witnessed a renaissance of theoretical work on the macroscopic behavior of microscopically heterogeneous materials. This work has implications for many physical problems involving optimal design, composite materials, and coherent phase transitions.

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.

Topics in the Mathematical Modelling of Composite Materials

Автор: Andrej V. Cherkaev; Robert Kohn
Название: Topics in the Mathematical Modelling of Composite Materials
ISBN: 0817636625 ISBN-13(EAN): 9780817636623
Издательство: Springer
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Цена: 29150.00 р.
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Описание: A collection of research papers dealing with the macroscopic behaviour of microscopically hetergenous materials. The papers have been previously published in French or Russian as "hidden literature". This volume provides English translations of these works.

Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control

Автор: L. Gerencser; P. E. Caines
Название: Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
ISBN: 3540541330 ISBN-13(EAN): 9783540541332
Издательство: Springer
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Цена: 14818.00 р.
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Описание: This volume contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems. It provides information on recent research and describes efforts to develop a systematic theory of identification and adaptive control.


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