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Elsevier Stochastic Processes: Modeling and Simulation Vol 21

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Description

Expand your mathematical research with Stochastic Processes: Modeling and Simulation, Volume 21 of the Handbook of Statistics. This Elsevier publication serves as a sequel to volume 19, focusing on reviewing and unifying various research developments in stochastic processes with an applied focus. This comprehensive volume contains 23 chapters that address a wide range of technical topics. It covers essential areas such as manufacturing systems, random graphs, and reliability. Readers can also find detailed information on epidemic modelling, self-similar processes, empirical processes, and time series models. Additionally, the text explores extreme value therapy and practical applications of Markov chains, making it a valuable resource for those studying mathematical modelling.

Key Features

This Elsevier publication is Volume 21 of the Handbook of Statistics series.

The text functions as a sequel to volume 19 regarding stochastic processes of applied flavour.

Content includes 23 chapters covering diverse topics like manufacturing systems and random graphs.

Research areas addressed include reliability, epidemic modelling, and self-similar processes.

The volume provides technical details on empirical processes, time series models, and extreme value therapy.

Detailed information is provided regarding the practical applications of Markov chains.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 February 2003
Listed Since
05 February 2007

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