An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology) - Hardcover

Críticas

From the reviews:

"This is a new addition to the literature in Queueing Theory, which has been a subject area of intense interest because of its theoretical [richness] and wide applicability. This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. The book includes basics of stochastic processes and some mathematical topics, in addition to a chapter written by two computer scientists on modeling and analysis using computational tools, with useful simulation programs...With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books."―Assam Statistical Review

“The huge range of applications makes queueing theory an interesting object of study for students of mathematics, computer science, operations research and engineering. This book is an introduction to queueing theory. ... The book also contains 3 appendices about Poisson and Markov processes and other background material ... . the extensive bibliography of the queueing literature (202 references) which is given at the end of the book ... help readers to further their research.” (Slobodanka S. Mitrović, Mathematical Reviews, Issue 2010 a)

“It is aimed at beginning graduate students and advanced undergraduate students in industrial engineering, electrical engineering, computer science, operations research, management science, mathematics, and statistics. ... it covers a surprisingly large number of topics, including some that do not get much attention in other, much large books. ... As far as writing style is concerned, Bhat tends to be precise and concise. ... I like books that can be short yet make a major contribution.” (Myron Hlynka, Technometrics, Vol. 52 (1), February, 2010)

Reseña del editor

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students. Containing exercises and examples, this volume may be used as a textbook by first-year graduate and upper-level undergraduate students. The work may also be useful as a self-study reference for applications and further research.