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.
| ISBN: | 9780471494461 |
| Publication date: | 6th February 2002 |
| Author: | Alfred Mueller, Dietrich Stoyan |
| Publisher: | John Wiley & Sons, Inc. an imprint of Wiley |
| Format: | Hardback |
| Pagination: | 330 pages |
| Series: | Wiley Series in Probability and Statistics |
| Genres: |
Mathematics |
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 features in the following genres: Mathematics
Hardback. Not Available.
Comparison Methods for Stochastic Models and Risks was written by Alfred Mueller, Dietrich Stoyan and published by John Wiley & Sons, Inc. an imprint of Wiley
Comparison Methods for Stochastic Models and Risks has 330 pages
Yes it is part of Wiley Series in Probability and Statistics series