Description

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.

Comparison Methods for Stochastic Models and Risks

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£144.95

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Hardback by Alfred Müller , Dietrich Stoyan

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Stochastic order relations prprovide a valuable insight into the behaviour of complex stochastic (random) systems and enable the user to... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 06/02/2002
    ISBN13: 9780471494461, 978-0471494461
    ISBN10: 0471494461

    Number of Pages: 352

    Non Fiction , Mathematics & Science , Education

    Description

    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.

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