Probability models

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 tha...

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Xehetasun bibliografikoak
Egile nagusia: Haigh, John, 1941-2021, mathématicien
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: London : Springer London [20..].
Cham : Springer Nature
Edizioa:2nd ed. 2013.
Saila:Springer Undergraduate Mathematics Series
Gaiak:
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Probability models, John Haigh, 2nd edition, 2013, London, Springer, 1 vol. (XII-287 p.), Springer Undergraduate Mathematics Series, 978-1-4471-5342-9
• Probability Models, Texte imprimé, 9781447153443
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245 1 0 |a Probability models   |c by John Haigh. 
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505 0 |a 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 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
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520 |a 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 
650 |a Probabilités 
650 |a Modèles mathématiques 
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