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2016-12-07
Fundamentals of Queuing Systems
Statistical Methods for Analyzing Queuing Models

Authors: Nick T. Thomopoulos

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Provides timeless methods for measuring statistics and probabilities in a vast range of queuing systems

Presents information that is critical for professionals, researchers, and students in management science

Features a tested format without difficult mathematical formulas or equations

Each of the 23 chapters includes useful examples, problems and solutions

Waiting in lines is a staple of everyday human life.  Without really noticing, we are doing it when we go to buy a ticket at a movie theater, stop at a bank to make an account withdrawal, or proceed to checkout a purchase from one of our favorite department stores.  Oftentimes, waiting lines are due to overcrowded, overfilling, or congestion; any time there is more customer demand for a service than can be provided, a waiting line forms.  Queuing systems is a term used to describe the methods and techniques most ideal for measuring the probability and statistics of a wide variety of waiting line models.  This book provides an introduction to basic queuing systems, such as M/M/1 and its variants, as well as newer concepts like systems with priorities, networks of queues, and general service policies.  Numerical examples are presented to guide readers into thinking about practical real-world applications, and students and researchers will be able to apply the methods learned to designing queuing systems that extend beyond the classroom.  Very little has been published in the area of queuing systems, and this volume will appeal to graduate-level students, researchers, and practitioners in the areas of management science, applied mathematics, engineering, computer science, and statistics.

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2016-12-7 06:09:08
Fundamentals of Queuing Systems_Statistical Methods for Analyzing Queuing Models_Nick T. Thomopoulos
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2016-12-7 06:10:39
Thanks a lot!
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2016-12-7 07:18:39
includes useful examples, problems and solutions
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2016-12-7 07:51:17
谢谢分享谢谢分享
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2016-12-7 07:56:25
Springer 统计学
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