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Modeling Uncertainty, Moshe Dror; Pierre L`Ecuyer; Ferenc Szidarovszky


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Автор: Moshe Dror; Pierre L`Ecuyer; Ferenc Szidarovszky
Название:  Modeling Uncertainty
ISBN: 9780792374633
Издательство: Springer
Классификация:


ISBN-10: 0792374630
Обложка/Формат: Hardcover
Страницы: 770
Вес: 0.97 кг.
Дата издания: 31.01.2002
Серия: International Series in Operations Research & Management Science
Язык: English
Размер: 240 x 163 x 38
Основная тема: Mathematics
Подзаголовок: An Examination of Stochastic Theory, Methods, and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Covers topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. This book is useful for graduate students in mathematics, statistics, engineering, and economics departments.


Modeling Uncertainty with Fuzzy Logic

Автор: Asli Celikyilmaz; I. Burhan T?rksen
Название: Modeling Uncertainty with Fuzzy Logic
ISBN: 3642100635 ISBN-13(EAN): 9783642100635
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.

Mathematics Of Uncertainty Modeling In The Analysis Of Engineering And Science Proble

Автор: Chakraverty
Название: Mathematics Of Uncertainty Modeling In The Analysis Of Engineering And Science Proble
ISBN: 1466649917 ISBN-13(EAN): 9781466649910
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments and applications are vital in dealing with the parameters taken to simplify the problem.Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.

Mortgage Valuation Models: Embedded Options, Risk, and Uncertainty

Автор: Davidson Andrew S.
Название: Mortgage Valuation Models: Embedded Options, Risk, and Uncertainty
ISBN: 0199998167 ISBN-13(EAN): 9780199998166
Издательство: Oxford Academ
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Цена: 20196.00 р.
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Описание: Valuation of mortgage-backed securities requires blending empirical analysis of borrower behavior and mathematical modeling of interest rates and home prices, with recognition of various prices of risk and uncertainty. This book offers a detailed description of the sophisticated theories and advanced methods used for the real-world valuation of MBS.

Introduction to Physical Modeling with Modelica

Автор: Tiller
Название: Introduction to Physical Modeling with Modelica
ISBN: 0792373677 ISBN-13(EAN): 9780792373674
Издательство: Springer
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Цена: 12850.00 р.
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Описание: This title describes "Modelica", a modelling language that can be used to simulate both continuous and discrete behaviour, It provides the necessary background to develop Modelica models of almost any physical system. The author starts with basic differential equations from several engineering domains and describes how these equations can be used to create reusable component models. Next, he describes techniques for modelling complex non-linear behaviour, exploiting the powerful array handling features and mixing continuous and discrete behaviour.

The second part of the book focuses on effective use of all the language features provided by the Modelica modelling language. This includes, among other things, discussions on maximizing the reusability of component models being developed, managing the model development process, and making models as computationally efficient as possible. The book includes a companion CD-ROM with the Modelica source code for all examples as well as an evaluation copy of Dymola.

Using Dymola, readers can immediately begin to explore the dynamics of the models included with the book or to develop their own models. Nearly 100 examples of mechanical, electrical, biological, chemical, thermal and hydraulic models are included.

Structural Equation Modeling With AMOS

Автор: Byrne
Название: Structural Equation Modeling With AMOS
ISBN: 1138797030 ISBN-13(EAN): 9781138797031
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.

Fuzzy Modeling and Fuzzy Control

Автор: Zhang Huaguang, Liu Derong
Название: Fuzzy Modeling and Fuzzy Control
ISBN: 0817644911 ISBN-13(EAN): 9780817644918
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Fuzzy logic methodology is effective in dealing with complex nonlinear systems containing uncertainties that are tough to model. Technology based on this methodology has been applied to real-world problems, especially in consumer products. This book presents treatment of fuzzy modeling and fuzzy control, offering tools for control of such systems.

Applied Research in Uncertainty Modeling and Analysis

Автор: Bilal M. Ayyub
Название: Applied Research in Uncertainty Modeling and Analysis
ISBN: 0387235353 ISBN-13(EAN): 9780387235356
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. It has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. This work concentrates on general aspects of uncertainty, modeling, and methods. It contains examples on engineering and sciences.


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