A first course in probability and Markov chains:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chichester
Wiley
2013
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | "Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra"-- "A first course in Probability and Markov Chains presents an introduction to the basic elements in statistics and focuses in two main areas"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781118477748 111847774X 9781118477809 1118477804 9781118477816 1118477812 9781118477793 1118477790 9781299188280 1299188281 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Modica, Giuseppe |
| author_facet | Modica, Giuseppe |
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| author_sort | Modica, Giuseppe |
| author_variant | g m gm |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/33 |
| dewey-search | 519.2/33 |
| dewey-sort | 3519.2 233 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| isbn | 9781118477748 111847774X 9781118477809 1118477804 9781118477816 1118477812 9781118477793 1118477790 9781299188280 1299188281 |
| language | English |
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| spelling | Modica, Giuseppe Verfasser aut A first course in probability and Markov chains Giuseppe Modica and Laura Poggiolini Chichester Wiley 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier "Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra"-- "A first course in Probability and Markov Chains presents an introduction to the basic elements in statistics and focuses in two main areas"-- Includes bibliographical references and index Markov processes MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Markov-Kette (DE-588)4037612-6 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Markov-Kette (DE-588)4037612-6 s 2\p DE-604 Poggiolini, Laura Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-94487-4 Erscheint auch als Druck-Ausgabe, Hardcover 1-119-94487-2 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118477793 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Modica, Giuseppe A first course in probability and Markov chains Markov processes MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Markov-Kette (DE-588)4037612-6 gnd |
| subject_GND | (DE-588)4037612-6 (DE-588)4123623-3 |
| title | A first course in probability and Markov chains |
| title_auth | A first course in probability and Markov chains |
| title_exact_search | A first course in probability and Markov chains |
| title_full | A first course in probability and Markov chains Giuseppe Modica and Laura Poggiolini |
| title_fullStr | A first course in probability and Markov chains Giuseppe Modica and Laura Poggiolini |
| title_full_unstemmed | A first course in probability and Markov chains Giuseppe Modica and Laura Poggiolini |
| title_short | A first course in probability and Markov chains |
| title_sort | a first course in probability and markov chains |
| topic | Markov processes MATHEMATICS / Probability & Statistics / General bisacsh Markov processes fast Markov-Kette (DE-588)4037612-6 gnd |
| topic_facet | Markov processes MATHEMATICS / Probability & Statistics / General Markov-Kette Lehrbuch |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118477793 |
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