Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications:
Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2008
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 UPA01 Volltext |
Zusammenfassung: | Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (ix, 487 pages) |
ISBN: | 9780511813641 |
DOI: | 10.1017/CBO9780511813641 |
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Datensatz im Suchindex
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any_adam_object | |
author | Suhov, Yu. M. |
author_facet | Suhov, Yu. M. |
author_role | aut |
author_sort | Suhov, Yu. M. |
author_variant | y m s ym yms |
building | Verbundindex |
bvnumber | BV043945934 |
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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 | 10.1017/CBO9780511813641 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:24Z |
institution | BVB |
isbn | 9780511813641 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029354905 |
oclc_num | 967604817 |
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physical | 1 online resource (ix, 487 pages) |
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publishDate | 2008 |
publishDateSearch | 2008 |
publishDateSort | 2008 |
publisher | Cambridge University Press |
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spelling | Suhov, Yu. M. Verfasser aut Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications Yuri Suhov, Mark Kelbert Probability & Statistics by Example Cambridge Cambridge University Press 2008 1 online resource (ix, 487 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout Probabilities Mathematical statistics Kelbert, M. Sonstige oth Erscheint auch als Druckausgabe 978-0-521-61234-0 Erscheint auch als Druckausgabe 978-0-521-84767-4 https://doi.org/10.1017/CBO9780511813641 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Suhov, Yu. M. Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications Probabilities Mathematical statistics |
title | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications |
title_alt | Probability & Statistics by Example |
title_auth | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications |
title_exact_search | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications |
title_full | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications Yuri Suhov, Mark Kelbert |
title_fullStr | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications Yuri Suhov, Mark Kelbert |
title_full_unstemmed | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications Yuri Suhov, Mark Kelbert |
title_short | Probability and statistics by example, 2, Markov chains : a primer in random processes and their applications |
title_sort | probability and statistics by example 2 markov chains a primer in random processes and their applications |
topic | Probabilities Mathematical statistics |
topic_facet | Probabilities Mathematical statistics |
url | https://doi.org/10.1017/CBO9780511813641 |
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