1995, ISBN: 0387944508

[EAN: 9780387944500], Neubuch, [SC: 36.18], [PU: Springer New York], STOCHASTIK; WAHRSCHEINLICHKEITSRECHNUNG; JACKSONNETWORK; MARKOVPROCESS; MARKOVRENEWALPROCESS; MARTINGAL; MARTINGALE; R… Mehr…

[EAN: 9780387944500], Neubuch, [SC: 36.18], [PU: Springer New York], STOCHASTIK; WAHRSCHEINLICHKEITSRECHNUNG; JACKSONNETWORK; MARKOVPROCESS; MARKOVRENEWALPROCESS; MARTINGAL; MARTINGALE; RANDOMVARIABLE; POINTPROCESS; PROBABILITYSPACE, Druck auf Anfrage Neuware - Printed after ordering - This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field. In Chapter 1 a selection of one dimensional orderings is presented together with applications in the theory of queues, some parts of this selection are based on the recent literature (not older than five years). In Chapter 2 the material is centered around the strong stochastic ordering in many dimen sional spaces and functional spaces. Necessary facts about conditioning, Markov processes an'd point processes are introduced together with some classical results such as the product formula and Poissonian departure theorem for Jackson networks, or monotonicity results for some re newal processes, then results on stochastic ordering of networks, re~~ment policies and single server queues connected with Markov renewal processes are given. Chapter 3 is devoted to dependence and relations between dependence and ordering, exem plified by results on queueing networks and point processes among others. 212 pp. Englisch, Books<

1995, ISBN: 0387944508

[EAN: 9780387944500], Neubuch, [SC: 0.0], [PU: Springer New York], STOCHASTIK; WAHRSCHEINLICHKEITSRECHNUNG; JACKSONNETWORK; MARKOVPROCESS; MARKOVRENEWALPROCESS; MARTINGAL; MARTINGALE; RAN… Mehr…

[EAN: 9780387944500], Neubuch, [SC: 0.0], [PU: Springer New York], STOCHASTIK; WAHRSCHEINLICHKEITSRECHNUNG; JACKSONNETWORK; MARKOVPROCESS; MARKOVRENEWALPROCESS; MARTINGAL; MARTINGALE; RANDOMVARIABLE; POINTPROCESS; PROBABILITYSPACE, Druck auf Anfrage Neuware - Printed after ordering - This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field. In Chapter 1 a selection of one dimensional orderings is presented together with applications in the theory of queues, some parts of this selection are based on the recent literature (not older than five years). In Chapter 2 the material is centered around the strong stochastic ordering in many dimen sional spaces and functional spaces. Necessary facts about conditioning, Markov processes an'd point processes are introduced together with some classical results such as the product formula and Poissonian departure theorem for Jackson networks, or monotonicity results for some re newal processes, then results on stochastic ordering of networks, re~~ment policies and single server queues connected with Markov renewal processes are given. Chapter 3 is devoted to dependence and relations between dependence and ordering, exem plified by results on queueing networks and point processes among others., Books<

ISBN: 9780387944500

This book is an introductionary course in shastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and … Mehr…

This book is an introductionary course in shastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field. In Chapter 1 a selection of one dimensional orderings is presented together with applications in the theory of queues, some parts of this selection are based on the recent literature (not older than five years). In Chapter 2 the material is centered around the strong shastic ordering in many dimen­ sional spaces and functional spaces. Necessary facts about conditioning, Markov processes and point processes are introduced together with some classical results such as the product formula and Poissonian departure theorem for Jackson networks, or monotonicity results for some re­ newal processes, then results on shastic ordering of networks, re~~ment policies and single server queues connected with Markov renewal processes are given. Chapter 3 is devoted to dependence and relations between dependence and ordering, exem­ plified by results on queueing networks and point processes among others. New Textbooks>Trade Paperback>Science>Statistics & Probability>Statistics & Probability, Springer New York Core >1 >T<

ISBN: 9780387944500

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures a… Mehr…

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics. It is based on lectures and senlinars I have been giving for students at Mathematical Institute of Wroclaw University, and on a graduate course a.t Industrial Engineering Department of Texas A&M University, College Station, and addressed to a reader willing to use for example Lebesgue measure, conditional expectations with respect to sigma fields, martingales, or compensators as a common language in this field. In Chapter 1 a selection of one dimensional orderings is presented together with applications in the theory of queues, some parts of this selection are based on the recent literature (not older than five years). In Chapter 2 the material is centered around the strong stochastic ordering in many dimen­ sional spaces and functional spaces. Necessary facts about conditioning, Markov processes an"d point processes are introduced together with some classical results such as the product formula and Poissonian departure theorem for Jackson networks, or monotonicity results for some re­ newal processes, then results on stochastic ordering of networks, re~~ment policies and single server queues connected with Markov renewal processes are given. Chapter 3 is devoted to dependence and relations between dependence and ordering, exem­ plified by results on queueing networks and point processes among others., Springer<

ISBN: 9780387944500

Paperback / softback. New. 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 a… Mehr…

Paperback / softback. New. 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., 6<