Springer New York
Stochastic Ordering and Dependence in Applied Probability
Stochastic Ordering and Dependence in Applied Probability
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This book presents an introductory course in shastic orderings and dependence and their applications to queues and networks of queues. Readers are assumed to have a firm grounding in Lebesgue measure, conditional expectation, and martingales. Chapter 1 presents a collection of one-dimensional orderings with applications to the theory of queues. Chapter 2 extends these concepts to shastic orderings in many dimensional spaces and functional spaces. Then results are given on shastic ordering of networks, replacement policies, and single-server queues associated with Markov renewal processes. Finally, Chapter 3 is devoted to dependence and the relations between dependence and orderings, and it includes applications to queueing networks and point processes.
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