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Stochastic Orders in Reliability and Risk, Haijun Li; Xiaohu Li


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Автор: Haijun Li; Xiaohu Li
Название:  Stochastic Orders in Reliability and Risk
ISBN: 9781461468912
Издательство: Springer
Классификация:
ISBN-10: 1461468914
Обложка/Формат: Hardcover
Страницы: 442
Вес: 0.93 кг.
Дата издания: 22.06.2013
Серия: Lecture Notes in Statistics - Proceedings
Язык: English
Размер: 242 x 162 x 30
Основная тема: Statistics
Подзаголовок: In Honor of Professor Moshe Shaked
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Presenting research reported at SORR2011 in Xiamen, China in 2011, this book offers 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis and applications.


Stochastic Calculus for Finance II

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 8384.00 р.
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Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

An Introduction to Stochastic Orders

Автор: Felix Belzunce
Название: An Introduction to Stochastic Orders
ISBN: 0128037687 ISBN-13(EAN): 9780128037683
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание:

An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students and researchers who want to use it as a tool for their research.

In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties of several stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models.

  • Introduces stochastic orders and its notation
  • Discusses different orders of univariate stochastic orders
  • Explains multivariate stochastic orders and their convex, likelihood ratio, and dispersive orders
Stochastic Orders in Reliability and Risk

Автор: Haijun Li; Xiaohu Li
Название: Stochastic Orders in Reliability and Risk
ISBN: 1489991948 ISBN-13(EAN): 9781489991942
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis, and applications.

Stochastic Models in Reliability and Maintenance

Автор: Shunji Osaki
Название: Stochastic Models in Reliability and Maintenance
ISBN: 3642077250 ISBN-13(EAN): 9783642077258
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Much more importantly, we have to maintain such systems without failure, but cannot predict when such systems will fail and how to fix such systems without delay. Many mathematical models have been and will be proposed to describe reliability and maintainability systems by using the stochastic processes.

Stochastic Modeling for Reliability

Автор: Maxim Finkelstein; Ji Hwan Cha
Название: Stochastic Modeling for Reliability
ISBN: 1447158555 ISBN-13(EAN): 9781447158554
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Focusing on shocks modelling, burn-in and heterogeneous populations, this book naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors.

Stochastic methods

Автор: Gardiner, Crispin W.
Название: Stochastic methods
ISBN: 3540707123 ISBN-13(EAN): 9783540707127
Издательство: Springer
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Цена: 11179.00 р.
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Описание: In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.

Stochastic Reliability and Maintenance Modeling

Автор: Dohi Tadashi
Название: Stochastic Reliability and Maintenance Modeling
ISBN: 144714970X ISBN-13(EAN): 9781447149705
Издательство: Springer
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Цена: 26122.00 р.
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Описание: In honor of the work of Professor Shunji Osaki, this book provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. It shows readers how to apply the theory to computer and communication systems.

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.

Stochastic Models in Reliability Theory

Автор: S. Osaki; Y. Hatoyama
Название: Stochastic Models in Reliability Theory
ISBN: 3540138889 ISBN-13(EAN): 9783540138884
Издательство: Springer
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Цена: 15372.00 р.
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Описание: In Japan there are many research workers who are especially inter- ested in stochastic models in reliability theory. On the above back- ground, it was a nice occasion for the Editors to organize the Reliabil- ity Symposium with emphasis on "Stochastic Models in Reliability Theory." The Reliability Symposium was held in Nagoya, Japan, April 23-24, 1984. In the Symposium there were 14 contributions of the recent research works on stochastic models in reliability theory in Japan. We briefly sketch all the contributions by the following classifications just for conveni- ence. The first three papers discuss coherent structure theory: Miyakawa considers stochastic coherent systems where the system's state can not be completely determined by the states of its components. He shows that such models will be used in identifying the failure mechanism based on failure pattern data. Ohi and Nishida propose multistate systems in which all the state spaces are not necessarily the same, but somewhat strong coherency is assumed. Nakashima and Yamato discuss multivalued- output systems and su gest the type of redundancy effective for improv- ing- fail-safe characteristics of such systems. The next two papers are concerned with maintenance and replacement problems: Nakagawa summarizes seven replacement models with discrete variables. He shows that each optimal number is given by a unique solu- tion to equation. Kaio and Osaki consider optimum inspection policies for a system whose failure can be detected effectively. They discuss three inspection models and give their optimum inspection policies.

Stochastic Reliability and Maintenance Modeling

Автор: Tadashi Dohi; Toshio Nakagawa
Название: Stochastic Reliability and Maintenance Modeling
ISBN: 1447161823 ISBN-13(EAN): 9781447161820
Издательство: Springer
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Цена: 20896.00 р.
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Описание: In honor of the work of Professor Shunji Osaki, this book provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. It shows readers how to apply the theory to computer and communication systems.


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