Stochastic Ordering and Dependence in Applied Probability

This textbook has been designed as an introduction to stochastic orderings and dependence, and their applications to queues and the networks of queues. It is assumed that readers have a firm grounding in Lebesgue measure, conditional expectation and martingales.



This is an introductory course in stochastic 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 stochastic orderings in many dimensional spaces and functional spaces. Then results are given on stochastic 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. It includes applications to queueing networks and point processes.