Probability Models:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2002
|
| Schriftenreihe: | Springer Undergraduate Mathematics Series
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (VIII, 256p. 15 illus) |
| ISBN: | 9781447101697 9781852334314 |
| ISSN: | 1615-2085 |
| DOI: | 10.1007/978-1-4471-0169-7 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Haigh, John |
| author_facet | Haigh, John |
| author_role | aut |
| author_sort | Haigh, John |
| author_variant | j h jh |
| building | Verbundindex |
| bvnumber | BV042419344 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
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| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4471-0169-7 |
| format | Electronic eBook |
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| id | DE-604.BV042419344 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:04Z |
| institution | BVB |
| isbn | 9781447101697 9781852334314 |
| issn | 1615-2085 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027854761 |
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| physical | 1 Online-Ressource (VIII, 256p. 15 illus) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2002 |
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| publisher | Springer London |
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| series2 | Springer Undergraduate Mathematics Series |
| spelling | Haigh, John Verfasser aut Probability Models by John Haigh London Springer London 2002 1 Online-Ressource (VIII, 256p. 15 illus) txt rdacontent c rdamedia cr rdacarrier Springer Undergraduate Mathematics Series 1615-2085 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 Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 s 1\p DE-604 https://doi.org/10.1007/978-1-4471-0169-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Haigh, John Probability Models Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastisches Modell (DE-588)4057633-4 gnd |
| subject_GND | (DE-588)4057633-4 |
| title | Probability Models |
| title_auth | Probability Models |
| title_exact_search | Probability Models |
| title_full | Probability Models by John Haigh |
| title_fullStr | Probability Models by John Haigh |
| title_full_unstemmed | Probability Models by John Haigh |
| title_short | Probability Models |
| title_sort | probability models |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastisches Modell (DE-588)4057633-4 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Stochastisches Modell |
| url | https://doi.org/10.1007/978-1-4471-0169-7 |
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