The first third of the book introduces probability theory, ending with a discussion of Markov chains and renewal theory. The second third of the book discussed queueing theory and applications to computer systems. Unlike the first edition, there is now a substantial section on queueing networks, ending with a discussion of BCMP networks, and exact and approximate algorithms for solving certain networks. The third portion of the book discusses statistical inference - confidence intervals and hypothesis testing. There is a new section on exploratory data analysis, and a new chapter on regression and correlation analysis. Throughout the book, the new edition demonstrates the use of software packages to perform the necessary calculations. A number of APL and Mathematica programs are given in the Appendices, and the text also discusses the use of commercial statistics and queueing theory packages. Thomas Robertazzi, Springer-Verlag, 1990. 306 pp. $49.5O. Unlike the other, more specialized, books given brief reviews in this issue, this book would be an appropriate text for an introductory graduate course in performance evaluation. The book presumes a knowledge of probability theory, which is reviewed in an appendix. There is a chapter on single queueing systems, which covers the M
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