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: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2008
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| Links: | https://doi.org/10.1017/CBO9780511813641 |
| 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. |
| Umfang: | 1 Online-Ressource (ix, 487 Seiten) |
| ISBN: | 9780511813641 |
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| spelling | Suhov, Yu. M. 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-Ressource (ix, 487 Seiten) txt c cr 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. Kelbert, M. Erscheint auch als Druck-Ausgabe 9780521612340 Erscheint auch als Druck-Ausgabe 9780521847674 |
| spellingShingle | Suhov, Yu. M. Probability and statistics by example |
| title | Probability and statistics by example |
| title_alt | Probability & Statistics by Example |
| title_auth | Probability and statistics by example |
| title_exact_search | Probability and statistics by example |
| 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 |
| title_sort | probability and statistics by example markov chains a primer in random processes and their applications |
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