Level Crossing Methods in Stochastic Models

Author:   Percy H. Brill
Publisher:   Springer International Publishing AG
Edition:   2nd ed. 2017
Volume:   250
ISBN:  

9783319503301


Pages:   559
Publication Date:   12 May 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Level Crossing Methods in Stochastic Models


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Author:   Percy H. Brill
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2nd ed. 2017
Volume:   250
Dimensions:   Width: 15.50cm , Height: 3.20cm , Length: 23.50cm
Weight:   9.989kg
ISBN:  

9783319503301


ISBN 10:   3319503308
Pages:   559
Publication Date:   12 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Level crossing methods are a set of sample path-based mathematical tools used in applied probability to create reliable probability distributions. It consists of 11 Chapters, 145 items in the References ... . this edition is a valuable tool for all researchers working on stochastic application problems, for example, inventory control, queueing theory, reliability theory, actuarial ruin theory, renewal theory, and related Markov processes. (Janos Sztrik, zbMATH 1380.60002, 2018)


“Level crossing methods are a set of sample path-based mathematical tools used in applied probability to create reliable probability distributions. It consists of 11 Chapters, 145 items in the References … . this edition is a valuable tool for all researchers working on stochastic application problems, for example, inventory control, queueing theory, reliability theory, actuarial ruin theory, renewal theory, and related Markov processes.” (János Sztrik, zbMATH 1380.60002, 2018)


Author Information

Percy H. Brill is a Professor emeritus at the University of Windsor, Canada. He received a B.Sc. in Mathematics and Physics from Carleton University, Canada, an M.A. in Mathematical Statistics from Columbia University, U.S.A., and a Ph.D. in Industrial Engineering from the University of Toronto, Canada. He is the creator of the level crossing method used in stochastic models. He has published extensively in stochastic processes, and queueing, especially using level crossing methods.

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