Probability Models - Brossura

Haigh, John

Brossura

ISBN 10: 1447153421 ISBN 13: 9781447153429

Casa editrice: Springer, 2013

Riassunto

This book describes how to set up and analyze models of real-life phenomena that involve elements of chance. Includes many worked examples and exercises.

Su questo libro

Recensione:

From the reviews of the second edition:

“It should be on the desk of any university teacher and anybody studying probability and stochastic processes. ... there are exercises given in the end of each chapter. Solutions or good hints are summarised and located at the end of the book. All these make the book more than useful to a wide spectrum of readers. For anybody needing a good introduction to modern probability and stochastic processes, this is the book to start with.” (Jordan M. Stoyanov, zbMATH, Vol. 1286, 2014)

“This is an introductory book on probabilistic modeling that I can recommend to any student or teacher. It is not only for probability courses, but also for general mathematics, since the proofs, definitions, and examples are so beautifully intermingled and interspersed.” (Arturo Ortiz-Tapia, Computing Reviews, November, 2013)

Dalla quarta di copertina:

The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise.

Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded.

Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument.

Probability Models< is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.

Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2013
• ISBN 10: 1447153421
• ISBN 13: 9781447153429
• Rilegatura: Paperback
• Numero edizione: 2
• Numero di pagine: 300