| 期刊全稱 | An Introduction to Queueing Theory | | 期刊簡(jiǎn)稱 | Modeling and Analysi | | 影響因子2023 | U. Narayan Bhat | | 視頻video | http://file.papertrans.cn/156/155450/155450.mp4 | | 發(fā)行地址 | The first textbook on queueing theory that does not require a course in stochastic processes as a prerequisite; suitable for applied science students not needing a specialized course in queueing theor | | 學(xué)科分類 | Statistics for Industry and Technology | | 圖書封面 |  | | 影響因子 | There are several books on queueing theory available for students as well as - searchers. At the low end of mathematical sophistication, some provide usable f- mulas in a recipe fashion. At the high end there are research monographs on speci?c topics and books with an emphasis on theoretical analysis. In between there are a few textbooks with one common feature: all of them require an adequate background knowledge of probability and Markov processes that can be acquired normally with a semester-length graduate course. Consequently, most people who deal with the modeling and analysis of queueing systems either do not take a course on the subject because it would require an extra semester, or take a course on queueing systems without the necessary background and learn only how to use the results. This book is addressedtoremedythissituationbyprovidingaone-semesterfoundationalintrod- tion to the theory necessary for modeling and analysis of systems while developing the essential Markov process concepts and techniques using queueing processes as examples. Some of the key features of the book also distinguish it from others. Its introd- tory chapter includes a historical perspective on t | | Pindex | Textbook 20081st edition |
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