Comparison Methods for Stochastic Models and Risks
Wiley Series in Probability and Statistics
1. Edition February 2002
350 Pages, Hardcover
Wiley & Sons Ltd
Short Description
This book gives comprehensive coverage of stochastic order relations, which provides valuable insight into the behavior of complex stochastic (random) systems and enables the user to collect meaningful comparative data. Application areas include queuing systems, actuarial and financial risk, decision making, and stochastic simulation.
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.
Univariate Stochastic Orders
Theory of Integral Stochastic Orders
Multivariate Stochastic Orders
Stochastic Models, Comparison and Monotonicity
Monotonicity and Comparability of Stochastic Processes
Monotonicity Properties and Bounds for Queueing Systems
Applications to Various Stochastic Models
Comparing Risks.
List of Symbols.
References.
Index.
