Description: Stochastic Processes: Modeling and Simulation D N Shanbhag (Author) 9780444500137, Elsevier Science Hardback, published 24 February 2003 1020 pages 24.1 x 15.9 x 4.8 cm, 1.96 kg This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value therapy, applications of Markov chains, modelling with Monte Carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. particular with modelling, simulation techniques and numerical methods concerned with stochastic processes. The scope of the project involving this volume as well as volume 19 is already clarified in the preface of volume 19. The present volume completes the aim of the project and should serve as an aid to students, teachers, researchers and practitioners interested in applied stochastic processes. Subject Areas: Science: general issues [PD], Stochastics [PBWL], Mathematical modelling [PBWH], Probability & statistics [PBT]
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BIC Subject Area 1: Science: general issues [PD]
BIC Subject Area 2: Stochastics [PBWL]
BIC Subject Area 3: Mathematical modelling [PBWH]
BIC Subject Area 4: Probability & statistics [PBT]
Publisher: Elsevier Science & Technology
Publication Year: 2003
Subject: Mathematics
Number of Pages: 1020 Pages
Language: English
Publication Name: Stochastic Processes: Modeling and Simulation: Volume 21
Item Weight: 1960 g
Type: Textbook
Author: D N Shanbhag
Series: Handbook of Statistics
Format: Hardcover
