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Probability Models by John Haigh: New

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Book Title
Probability Models
Publication Date
2013-07-14
Edition Number
2
Pages
287
ISBN
9781447153429

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Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1447153421
ISBN-13
9781447153429
eBay Product ID (ePID)
168605146

Product Key Features

Number of Pages
Xii, 287 Pages
Publication Name
Probability Models
Language
English
Publication Year
2013
Subject
Probability & Statistics / General, Computer Simulation, Computer Science
Type
Textbook
Subject Area
Mathematics, Computers
Author
John Haigh
Series
Springer Undergraduate Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Height
0.2 in
Item Weight
161.2 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
Dewey Edition
21
Reviews
From the reviews of the second edition: "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), 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)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.2
Table Of Content
Probability Spaces.- Conditional Probability and Independence.- Common Probability Distributions.- Random Variables.- Sums of Random Variables.- Convergence and Limit Theorems.- Stochastic Processes in Discrete Time.- Stochastic Processes in Continuous Time.- Appendix: Common Distributions and Mathematical Facts.
Synopsis
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 textbook contains many worked examples and several chapters have been updated and expanded for the second edition. 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., 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.
LC Classification Number
QA273.A1-274.9

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