Stochastic Processes: An Introduction - Couverture souple

Jones, P.W.; Smith, Peter

 
9780340806548: Stochastic Processes: An Introduction

Synopsis

Book by Jones P W Smith P

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Présentation de l'éditeur

This textbook presents an accessible introduction to stochastic processes for students taking degree courses with a substantial mathematics or statistics content. The level of the book is approriate for a second or thrid-year undergraduate course, and is based on the authors' extensive teaching experience.

'Stochastic Processes' covers basic ideas on probability, before moving on to specific topics such as randon walks, Markov chains, queues, reliability, and branching processes. The emphasis throughout is on techniques and illustrative examples. The book includes over 250 worked examples and problems and selection of appropriate simulations and projects on each chapter. A collection of sample programs in 'Mathematica' for each of these projects may be freely downloaded from a dedicated website. Many students find probability difficult; this engaging textbook will ensure a straightforward, pain-free introduction to stochastic processes.

In addition to the end-of-chapter problems and answers, there will be a selection of appropriate simulations and projects on each chapter. A collection of sample programs in Mathematica, for each of these projects will be freely available, and can be downloaded from a website based at Keele University.

Biographie de l'auteur

Peter W. Jones is a professor and Pro Vice Chancellor for Research and Enterprise at Keele University in Staffordshire, UK.

Peter Smith is a Professor Emeritus in the School of Computing and Mathematics at Keele University in Staffordshire, UK.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781420099607: Stochastic Processes

Edition présentée

ISBN 10 :  1420099604 ISBN 13 :  9781420099607
Editeur : Chapman & Hall/CRC, 2009
Couverture souple