Probability:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Philadelphia, Pa.
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
1992
|
| Edition: | Originally published: Reading, Mass. : Addison-Wesley Pub. Co., 1968, in series: Addison-Wesley series in statistics |
| Series: | Classics in applied mathematics
7 |
| Subjects: | |
| Online Access: | TUM01 UBW01 UBY01 UER01 Volltext |
| Item Description: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (p. 405-411) and index Chapter 1. Introduction -- Chapter 2. Mathematical framework -- Chapter 3. Independence -- Chapter 4. Conditional probability and conditional expectation -- Chapter 5. Martingales -- Chapter 6. Stationary processes and the Ergodic theorem -- Chapter 7. Markov chains -- Chapter 8. Convergence in distribution and the tools thereof -- Chapter 9. The one-dimensional central limit problem -- Chapter 10. The renewal theorem and local limit theorem -- Chapter 11. Multidimensional central limit theorem and Gaussian processes -- Chapter 12. Stochastic processes and Brownian motion -- Chapter 13. Invariance theorems -- Chapter 14. Martingales and processes with stationary, independent increments -- Chapter 15. Markov processes, introduction and pure jump case -- Chapter 16. Diffusions -- Appendix. On measure and function theory -- Bibliography -- Index Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime |
| Physical Description: | 1 Online Ressource (xiii, 421 Seiten) |
| ISBN: | 0898712963 9780898712964 |
| DOI: | 10.1137/1.9781611971286 |
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| 245 | 1 | 0 | |a Probability |c Leo Breiman |
| 250 | |a Originally published: Reading, Mass. : Addison-Wesley Pub. Co., 1968, in series: Addison-Wesley series in statistics | ||
| 264 | 1 | |a Philadelphia, Pa. |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) |c 1992 | |
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| 490 | 1 | |a Classics in applied mathematics |v 7 | |
| 500 | |a Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader | ||
| 500 | |a Includes bibliographical references (p. 405-411) and index | ||
| 500 | |a Chapter 1. Introduction -- Chapter 2. Mathematical framework -- Chapter 3. Independence -- Chapter 4. Conditional probability and conditional expectation -- Chapter 5. Martingales -- Chapter 6. Stationary processes and the Ergodic theorem -- Chapter 7. Markov chains -- Chapter 8. Convergence in distribution and the tools thereof -- Chapter 9. The one-dimensional central limit problem -- Chapter 10. The renewal theorem and local limit theorem -- Chapter 11. Multidimensional central limit theorem and Gaussian processes -- Chapter 12. Stochastic processes and Brownian motion -- Chapter 13. Invariance theorems -- Chapter 14. Martingales and processes with stationary, independent increments -- Chapter 15. Markov processes, introduction and pure jump case -- Chapter 16. Diffusions -- Appendix. On measure and function theory -- Bibliography -- Index | ||
| 500 | |a Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime | ||
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| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1137/1.9781611971286 |
| edition | Originally published: Reading, Mass. : Addison-Wesley Pub. Co., 1968, in series: Addison-Wesley series in statistics |
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| id | DE-604.BV039747307 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:10:18Z |
| institution | BVB |
| isbn | 0898712963 9780898712964 |
| language | English |
| lccn | 92001381 |
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| physical | 1 Online Ressource (xiii, 421 Seiten) |
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| publishDate | 1992 |
| publishDateSearch | 1992 |
| publishDateSort | 1992 |
| publisher | Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) |
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| series | Classics in applied mathematics |
| series2 | Classics in applied mathematics |
| spelling | Breiman, Leo 1928-2005 Verfasser (DE-588)136421229 aut Probability Leo Breiman Originally published: Reading, Mass. : Addison-Wesley Pub. Co., 1968, in series: Addison-Wesley series in statistics Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) 1992 1 Online Ressource (xiii, 421 Seiten) txt rdacontent c rdamedia cr rdacarrier Classics in applied mathematics 7 Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (p. 405-411) and index Chapter 1. Introduction -- Chapter 2. Mathematical framework -- Chapter 3. Independence -- Chapter 4. Conditional probability and conditional expectation -- Chapter 5. Martingales -- Chapter 6. Stationary processes and the Ergodic theorem -- Chapter 7. Markov chains -- Chapter 8. Convergence in distribution and the tools thereof -- Chapter 9. The one-dimensional central limit problem -- Chapter 10. The renewal theorem and local limit theorem -- Chapter 11. Multidimensional central limit theorem and Gaussian processes -- Chapter 12. Stochastic processes and Brownian motion -- Chapter 13. Invariance theorems -- Chapter 14. Martingales and processes with stationary, independent increments -- Chapter 15. Markov processes, introduction and pure jump case -- Chapter 16. Diffusions -- Appendix. On measure and function theory -- Bibliography -- Index Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime Probabilities Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s DE-604 Wahrscheinlichkeit (DE-588)4137007-7 s 1\p DE-604 Erscheint auch als Druck-Ausgabe, Paperback 0898712963 (DE-604)BV008263716 Erscheint auch als Druck-Ausgabe, Paperback 9780898712964 Classics in applied mathematics 7 (DE-604)BV040633091 7 https://doi.org/10.1137/1.9781611971286 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Breiman, Leo 1928-2005 Probability Classics in applied mathematics Probabilities Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd |
| subject_GND | (DE-588)4137007-7 (DE-588)4064324-4 |
| title | Probability |
| title_auth | Probability |
| title_exact_search | Probability |
| title_full | Probability Leo Breiman |
| title_fullStr | Probability Leo Breiman |
| title_full_unstemmed | Probability Leo Breiman |
| title_short | Probability |
| title_sort | probability |
| topic | Probabilities Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd |
| topic_facet | Probabilities Wahrscheinlichkeit Wahrscheinlichkeitsrechnung |
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