Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Probability Models
Taschenbuch von John Haigh
Sprache: Englisch

36,90 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Kategorien:
Beschreibung
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.
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.
Zusammenfassung

Very suitable for self-study

Provides many worked examples and exercises

Suitable for beginners; no prior knowledge of probability is needed

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2013
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Springer Undergraduate Mathematics Series
Inhalt: xii
287 S.
17 s/w Illustr.
287 p. 17 illus.
ISBN-13: 9781447153429
ISBN-10: 1447153421
Sprache: Englisch
Herstellernummer: 86273480
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Haigh, John
Auflage: 2nd ed. 2013
Hersteller: Springer London
Springer-Verlag London Ltd.
Springer Undergraduate Mathematics Series
Maße: 235 x 155 x 17 mm
Von/Mit: John Haigh
Erscheinungsdatum: 14.07.2013
Gewicht: 0,458 kg
Artikel-ID: 105919137
Zusammenfassung

Very suitable for self-study

Provides many worked examples and exercises

Suitable for beginners; no prior knowledge of probability is needed

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2013
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Springer Undergraduate Mathematics Series
Inhalt: xii
287 S.
17 s/w Illustr.
287 p. 17 illus.
ISBN-13: 9781447153429
ISBN-10: 1447153421
Sprache: Englisch
Herstellernummer: 86273480
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Haigh, John
Auflage: 2nd ed. 2013
Hersteller: Springer London
Springer-Verlag London Ltd.
Springer Undergraduate Mathematics Series
Maße: 235 x 155 x 17 mm
Von/Mit: John Haigh
Erscheinungsdatum: 14.07.2013
Gewicht: 0,458 kg
Artikel-ID: 105919137
Warnhinweis

Ähnliche Produkte

Ähnliche Produkte