Probability models.

Haigh, John:

ISBN 10: 1852334312 / ISBN 13: 9781852334314

Published by London, Springer, 2008

About this Item

256 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. D03706 9781852334314 Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 2513409

Bibliographic Details

• Title: Probability models.
• Publisher: London, Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 1852334312
• ISBN 13: 9781852334314
• Binding: Softcover
• Edition: 3rd printing.
• Condition: Gut
• Weight: 550 grams
• Seller catalogs:
  • AA Varia

About this title

Synopsis

Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics. 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 via dice and 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. No specific knowledge of the subject is assumed, only a familiarity with the notions of calculus, and the summation of series. Where the full story would call for a deeper mathematical background, the difficulties are noted and appropriate references given. The main topics arise naturally, with definitions and theorems supported by fully worked examples and some 200 set exercises, all with solutions.

From the Back Cover

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.