|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Vidyadhar G. Kulkarni (Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, USA)Publisher: Taylor & Francis Inc Imprint: Chapman & Hall/CRC Edition: 3rd edition Weight: 1.540kg ISBN: 9781498756617ISBN 10: 1498756611 Pages: 606 Publication Date: 07 October 2016 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsThe third edition of Modeling and Analysis of Stochastic Systems remains an excellent book for a graduate-level study of stochastic processes. The aim of the book is modeling with stochastic elements in practical settings and analysis of the resulting stochastic model. The target audience is quantitative disciplines such as operations research, statistics, computer science, economics, and others where the book is well positioned, since it is application-driven and does not require measure theoretic probability. ... The numerous exercises, separated into modeling, computational, and conceptual classes, are a strength of this text. The author also notes that most come from his own homework and exams, making them a valuable resource. -James M. Flegal, University of California, Riverside, in Journal of the American Statistical Association, January 2018 """The third edition of Modeling and Analysis of Stochastic Systems remains an excellent book for a graduate-level study of stochastic processes. The aim of the book is modeling with stochastic elements in practical settings and analysis of the resulting stochastic model. The target audience is quantitative disciplines such as operations research, statistics, computer science, economics, and others where the book is well positioned, since it is application-driven and does not require measure theoretic probability. … The numerous exercises, separated into modeling, computational, and conceptual classes, are a strength of this text. The author also notes that most come from his own homework and exams, making them a valuable resource."" —James M. Flegal, University of California, Riverside, in Journal of the American Statistical Association, January 2018" ""The third edition of Modeling and Analysis of Stochastic Systems remains an excellent book for a graduate-level study of stochastic processes. The aim of the book is modeling with stochastic elements in practical settings and analysis of the resulting stochastic model. The target audience is quantitative disciplines such as operations research, statistics, computer science, economics, and others where the book is well positioned, since it is application-driven and does not require measure theoretic probability. … The numerous exercises, separated into modeling, computational, and conceptual classes, are a strength of this text. The author also notes that most come from his own homework and exams, making them a valuable resource."" —James M. Flegal, University of California, Riverside, in Journal of the American Statistical Association, January 2018 Author InformationVidyadhar G. Kulkarni Tab Content 6Author Website:Countries AvailableAll regions |