found: Work cat.: Squillante, M.S. Matrix-analytic methods, 2000.
found: Latouche, G. Introduction to matrix analytic methods in stochastic modeling, 1999:p. x (Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze, in a unified and in an algorithmically tractable manner, a wide class of stochastic models)
found: Australian & New Zealand journal of statistics, 2000:v. 42, no. 2, p. 248 (This book [Introduction to matrix analytic methods in stochastic modeling] deals with the application of matrix analytic methods (also known as the matrix-geometric methods) in stochastic modelling. The book provides a good introduction to this particular area of stochastic analysis)
found: Queueing theory books on line, via WWW, Mar. 6, 2006:Aggregate matrix analytic techniques and their applicability in computer systems performance analysis p. (introduction: In many cases, stochastic processes can be easily and efficiently analyzed by studying the embedded Markov chains ... A wide class of the embedded Markov chains can be studied using methods that explore and make use of the probabilistic interpretation of the transition probability and/or transition rate matrices of such processes. Such methods are known under the name of matrix analytic methods)
found: Osogami, T. Analysis of a QBD process that depends on background QBD processes, via WWW, Mar. 6, 2006(Matrix analytic methods are algorithmic approaches for evaluating a broad class of Markov chains)
notfound: MathWorld, Mar. 2, 2006;Wikipedia, Mar. 8, 2006;James, R.C. Mathematics dictionary, 1992;Encyclopedic dictionary of mathematics, 1987;Dictionary of applied math for engineers and scientists, 2003;McGraw Hill dictionary of scientific and technical terms, 2003;Dictionary of computer science, engineering, and technology, 2001
