Probability Models (Springer Undergraduate Mathematics Series) - Softcover

Buch 41 von 90: Springer Undergraduate Mathematics

Haigh, John

 
9781447153429: Probability Models (Springer Undergraduate Mathematics Series)

Inhaltsangabe

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 Modelsis designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.

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Über die Autorin bzw. den Autor

John Haigh set up the class "Mathematics In Everyday Life" at Sussex University in 2005, in response to a desire to show first year students some of the areas where their mathematical skills and knowledge could provide useful insight, and to give them practice in applying the mathematics they were learning on other modules. This book has benefited from the feedback of several cohorts of students. John has also written the well-received popular science book "Taking Chances" and, with Rob Eastaway, "The Hidden Mathematics of Sport".

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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

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