Elementary probability for applications:
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some...
Gespeichert in:
Beteilige Person: | |
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Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2009
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Links: | https://doi.org/10.1017/CBO9780511841521 |
Zusammenfassung: | This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management. |
Umfang: | 1 Online-Ressource (ix, 243 Seiten) |
ISBN: | 9780511841521 |
Internformat
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300 | |a 1 Online-Ressource (ix, 243 Seiten) | ||
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520 | |a This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management. | ||
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Datensatz im Suchindex
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illustrated | Not Illustrated |
indexdate | 2025-03-03T11:58:07Z |
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spelling | Durrett, Richard 1951- Elementary probability for applications Rick Durrett Cambridge Cambridge University Press 2009 1 Online-Ressource (ix, 243 Seiten) txt c cr This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management. Erscheint auch als Druck-Ausgabe 9780521867566 |
spellingShingle | Durrett, Richard 1951- Elementary probability for applications |
title | Elementary probability for applications |
title_auth | Elementary probability for applications |
title_exact_search | Elementary probability for applications |
title_full | Elementary probability for applications Rick Durrett |
title_fullStr | Elementary probability for applications Rick Durrett |
title_full_unstemmed | Elementary probability for applications Rick Durrett |
title_short | Elementary probability for applications |
title_sort | elementary probability for applications |
work_keys_str_mv | AT durrettrichard elementaryprobabilityforapplications |