Probability: a lively introduction
Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a com...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York, NY ; Port Melbourne ; Delhi ; Singapore
Cambridge University Press
2018
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| Schlagworte: | |
| Zusammenfassung: | Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds |
| Beschreibung: | x, 535 Seiten Diagramme |
| ISBN: | 9781108418744 1108418740 9781108407847 1108407846 |
Internformat
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| 505 | 8 | |a Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains | |
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| contents | Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains |
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| discipline | Mathematik |
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| spelling | Tijms, Henk C. 1944- Verfasser (DE-588)114608474 aut Probability a lively introduction Henk Tijms (Vrije Universiteit, Amsterdam) Cambridge ; New York, NY ; Port Melbourne ; Delhi ; Singapore Cambridge University Press 2018 x, 535 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Probabilities / Textbooks Probabilities Textbooks (DE-588)4151278-9 Einführung gnd-content Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s DE-604 Erscheint auch als Online-Ausgabe 978-1-108-31413-8 |
| spellingShingle | Tijms, Henk C. 1944- Probability a lively introduction Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd |
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| title | Probability a lively introduction |
| title_auth | Probability a lively introduction |
| title_exact_search | Probability a lively introduction |
| title_full | Probability a lively introduction Henk Tijms (Vrije Universiteit, Amsterdam) |
| title_fullStr | Probability a lively introduction Henk Tijms (Vrije Universiteit, Amsterdam) |
| title_full_unstemmed | Probability a lively introduction Henk Tijms (Vrije Universiteit, Amsterdam) |
| title_short | Probability |
| title_sort | probability a lively introduction |
| title_sub | a lively introduction |
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