Comparison Methods for Stochastic Models and Risks

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.

"…a noteworthy contribution to applied probability, and I would recommend it to anyone interested in applied stochastic modeling." (Journal of the American Statistical Association, June 2005) “…will replace the excellent but now slightly dated text by Shaked and Shathikumar (1994) as the standard reference on stochastic 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 stochastic orders..." (SciTech Book News, Vol. 26, No. 2, June 2002) "...a very timely and methodically orientated book..." (Zentralblatt Math, Vol.999, No.24, 2002)

Alfred Müller is the author of Comparison Methods for Stochastic Models and Risks, published by Wiley. Dietrich Stoyan is a mathematician and statistician. He was a student of Mathematics at Technical University Dresden and of applied research at Deutsches Brennstoffinstitut Freiberg.