Probability Models
- ISBN-10
- 144715343X
- ISBN-13
- 9781447153436
- Category
- Mathematics
- Pages
- 287
- Language
- English
- Published
- 2013-07-04
- Publisher
- Springer Science & Business Media
- Author
- John Haigh
Description
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.
Get the book
Other editions
Similar books
-
Introduction to Probability Models
By Sheldon M. RossThe first approach is employed in this text. The book begins by introducing basic concepts of probability theory, such as the random variable, conditional probability, and conditional expectation.
-
Introduction to Probability Models [SUPPRESSED].
By Sheldon M. RossIntroduction to Probability Models [SUPPRESSED].
-
Applied Probability Models with Optimization Applications
By Sheldon M. RossConcise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
-
Probability Models and Statistical Analyses for Ranking Data
By Michael A. Fligner, Joseph S. VerducciThere were 18 presentations on a wide variety of topics involving ranking data. This volume is a collection of 14 of these presentations, as well as 5 miscellaneous papers that were contributed by conference participants.
-
Probability Models in Operations Research
By C. Richard Cassady, Joel A. NachlasA common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive
-
Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
By Pierre BremaudThe emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and ...
-
Probability Models And Applications (Revised Second Edition)
By Ingram Olkin, Leon J Gleser, Cyrus DermanConditional Distributions Any random variable X, or subcollection of random variables (e.g., X; and X) can be predicted from knowledge of the remaining variables through the appropriate conditional probability distribution and ...
-
Probability Models
By Henry Kranendonk, Richard Scheaffer, Patrick W. HopfensperferProbability Models
-
Probability Models for Economic Decisions, second edition
By Roger B. Myerson, Eduardo ZambranoNew material in this second edition includes two new chapters on additional dynamic models and model risk; new sections in every chapter; many new end-of-chapter exercises; and coverage of such topics as simulation model workflow, models of ...
-
Applied Probability Models
By Do Le MinhIntended for a course in Probability Models at the undergraduate or graduate level, this book is designed for those who will actually use probability and is designed to fit diverse...