Comparison Methods for Stochastic Models and Risks

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9780471494461: Comparison Methods for Stochastic Models and Risks
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Stochastic order relations prprovide a valuable insight into thebehaviour of complex stochastic (random) systems and enable theuser to collect meaningful comparative data. Application areasinclude queueing systems, actuarial and financial risk, decisionmaking and stochastic simulation.
* Applicable to a broad range of scientific disciplines, includingeconomics, finance, insurance and operations research
* Provides coverage of the latest research and applications
An essential resource for researchers and postgraduate studentsappliying stochastic order relations, and scientisits from appliedstatistics, operations research, economics and finance.

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Stochastic orders are important approximation tools that providevaluable insight into the behaviour of complex stochastic models.Research into stochastic orders is blossoming, with many openproblems being studied and a wide range of applications explored.In this book the authors explore the most important concepts of thefield, from the basic univariate theory through to the most currentapplications.
* Comprehensive coverage of the theory and applications ofstochastic orders.

* Employs a systematic approach with detailed explanation of eachconcept.

* Features coverage of univariate and multivariate stochasticorders.

* Covers a range of applications, from queueing theory, reliabilitytheory, statistical physics, actuarial and financial risk, andeconomics.

* Written by authors with many years experience in researchingstochastic orders.
Researchers and graduate students studying stochastic orders willfind the comprehensive coverage of the subject ideal for theirneeds. The range of applications will benefit those working inapplied probability and statistics, reliability, actuarial science,economics and finance.

Review:

"...a noteworthy contribution to applied probability, and Iwould recommend it to anyone interested in applied stochasticmodeling." (Journal of the American Statistical Association,June 2005)

“...will replace the excellent but now slightly datedtext by Shaked and Shathikumar (1994) as the standard reference onstochastic orders.” (Statistical Papers, Vol.46, No.1,January 2005)

"...provides an up-to-date survey of a notable area..."(Mathematical Reviews, 2003d)

"...discusses the major concepts related to stochasticorders..." (SciTech Book News, Vol. 26, No. 2, June2002)

"...a very timely and methodically orientated book..."(Zentralblatt Math, Vol.999, No.24, 2002)

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Book Description John Wiley and Sons Ltd, United Kingdom, 2002. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to collect meaningful comparative data. Application areas include queueing systems, actuarial and financial risk, decision making and stochastic simulation. Applicable to a broad range of scientific disciplines, including economics, finance, insurance and operations research Provides coverage of the latest research and applications An essential resource for researchers and postgraduate students appliying stochastic order relations, and scientisits from applied statistics, operations research, economics and finance. Seller Inventory # AAH9780471494461

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Book Description John Wiley and Sons Ltd, United Kingdom, 2002. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to collect meaningful comparative data. Application areas include queueing systems, actuarial and financial risk, decision making and stochastic simulation. Applicable to a broad range of scientific disciplines, including economics, finance, insurance and operations research Provides coverage of the latest research and applications An essential resource for researchers and postgraduate students appliying stochastic order relations, and scientisits from applied statistics, operations research, economics and finance. Seller Inventory # AAH9780471494461

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Book Description John Wiley and Sons Ltd, United Kingdom, 2002. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to collect meaningful comparative data. Application areas include queueing systems, actuarial and financial risk, decision making and stochastic simulation. Applicable to a broad range of scientific disciplines, including economics, finance, insurance and operations research Provides coverage of the latest research and applications An essential resource for researchers and postgraduate students appliying stochastic order relations, and scientisits from applied statistics, operations research, economics and finance. Seller Inventory # LIE9780471494461

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