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Benefits of Bayesian Network Models, Weber


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Цена: 22010.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Weber
Название:  Benefits of Bayesian Network Models
ISBN: 9781848219922
Издательство: Wiley
Классификация:

ISBN-10: 184821992X
Обложка/Формат: Paperback
Страницы: 146
Вес: 0.24 кг.
Дата издания: 16.08.2016
Серия: Mathematics
Язык: English
Иллюстрации: Black & white illustrations
Размер: 263 x 220 x 18
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematical modelling,Mechanical engineering & materials,Electronics & communications engineering
Основная тема: Systems Engineering & Management
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry.


Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Systems Dependability Assessment: Benefits of Petri Net Models

Автор: Jean-Fran?§ois Aubry, Nicolae Brinzei, Mohammed-Habib Mazouni
Название: Systems Dependability Assessment: Benefits of Petri Net Models
ISBN: 1848219911 ISBN-13(EAN): 9781848219915
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. In our knowledge, no book deals specifically with the use of different type of PN to dependability. We propose in addition to bring a focus on the adequacy of Petri net types to the study of various problems related to dependability such as risk analysis and probabilistic assessment.

In the first part, the basic models of PN and some useful extensions are briefly recalled. In the second part, the PN are used as a formal model to describe the evolution process of critical system in the frame of an ontological approach. The third part focuses on the stochastic Petri Nets (SPN) and their use in dependability assessment. Different formal models of SPN are formally presented (semantics, evolution rules...) and their equivalence with the corresponding class of Markov processes to get an analytical assessment of dependability. Simplification methods are proposed in order to reduce the size of analytical model and to make it more calculable. The introduction of some concepts specific to high level PN allows too the consideration of complex systems. Few applications in the field of the instrumentation and control (l&C) systems, safety integrated systems (SIS) emphasize the benefits of SPN for dependability assessment.

Mathematical Methods and Models in Economic Planning, Management and Budgeting

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Bayesian Psychometric Modeling

Автор: Levy Roy, Mislevy Robert J.
Название: Bayesian Psychometric Modeling
ISBN: 1439884676 ISBN-13(EAN): 9781439884676
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание:

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment

Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.

Adopting a Bayesian approach can aid in unifying seemingly disparate-and sometimes conflicting-ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.

The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

NETWORK MODELS          HORM 7

Автор: BALL
Название: NETWORK MODELS HORM 7
ISBN: 0444892923 ISBN-13(EAN): 9780444892928
Издательство: Elsevier Science
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Цена: 8098.00 р.
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Описание: This text presents papers reflecting the wide range of theories and applications of network models. Several chapters model issues in the domains of telecommunications and transportation.


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