A first course in probability and Markov chains:
"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 an...
Gespeichert in:
| Beteilige Person: | |
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| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Chichester
Wiley
2013
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119944874/?ar |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Includes bibliographical references and index. - Print version record and CIP data provided by publisher |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781118477748 111847774X 9781118477809 1118477804 9781118477816 1118477812 9781118477793 1118477790 9781119944874 |
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| language | English |
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| spelling | Modica, Giuseppe VerfasserIn aut A first course in probability and Markov chains Giuseppe Modica and Laura Poggiolini Chichester Wiley 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record and CIP data provided by publisher "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"-- Markov processes Markov Chains Processus de Markov MATHEMATICS ; Probability & Statistics ; General dissertations Academic theses Thèses et écrits académiques Poggiolini, Laura MitwirkendeR ctb 9781119944874 Erscheint auch als Druck-Ausgabe 9781119944874 |
| spellingShingle | Modica, Giuseppe A first course in probability and Markov chains Markov processes Markov Chains Processus de Markov MATHEMATICS ; Probability & Statistics ; General dissertations Academic theses Thèses et écrits académiques |
| 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 | first course in probability and markov chains |
| topic | Markov processes Markov Chains Processus de Markov MATHEMATICS ; Probability & Statistics ; General dissertations Academic theses Thèses et écrits académiques |
| topic_facet | Markov processes Markov Chains Processus de Markov MATHEMATICS ; Probability & Statistics ; General dissertations Academic theses Thèses et écrits académiques |
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