Introduction to measure and probability
The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces. The first part of their book sets out this material in a form that not only provides an introduction for intending specialists in measure theory but a...
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Cambridge
Cambridge University Press
1966
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| 100 | 1 | |a Kingman, J. F. C. | |
| 245 | 1 | 0 | |a Introduction to measure and probability |c by J.F.C. Kingman and S.J. Taylor |
| 246 | 3 | |a Introdction to Measure & Probability | |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 1966 | |
| 300 | |a 1 Online-Ressource (x, 401 Seiten) | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 520 | |a The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces. The first part of their book sets out this material in a form that not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability. The theory of measure and integration is presented for general spaces, with Lebesgue measure and the Lebesgue integral considered as important examples whose special properties are obtained. The introduction to functional analysis which follows covers the material (such as the various notions of convergence) which is relevant to probability theory and also the basic theory of L2-spaces, important in modern physics. The second part of the book is an account of the fundamental theoretical ideas which underlie the applications of probability in statistics and elsewhere, developed from the results obtained in the first part. A large number of examples is included; these form an essential part of the development. | ||
| 700 | 1 | |a Taylor, S. J. | |
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Datensatz im Suchindex
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| indexdate | 2024-12-18T12:04:34Z |
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| isbn | 9780511897214 |
| language | English |
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| publishDate | 1966 |
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| publisher | Cambridge University Press |
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| spelling | Kingman, J. F. C. Introduction to measure and probability by J.F.C. Kingman and S.J. Taylor Introdction to Measure & Probability Cambridge Cambridge University Press 1966 1 Online-Ressource (x, 401 Seiten) txt c cr The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces. The first part of their book sets out this material in a form that not only provides an introduction for intending specialists in measure theory but also meets the needs of students of probability. The theory of measure and integration is presented for general spaces, with Lebesgue measure and the Lebesgue integral considered as important examples whose special properties are obtained. The introduction to functional analysis which follows covers the material (such as the various notions of convergence) which is relevant to probability theory and also the basic theory of L2-spaces, important in modern physics. The second part of the book is an account of the fundamental theoretical ideas which underlie the applications of probability in statistics and elsewhere, developed from the results obtained in the first part. A large number of examples is included; these form an essential part of the development. Taylor, S. J. Erscheint auch als Druck-Ausgabe 9780521058889 Erscheint auch als Druck-Ausgabe 9780521090322 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9780511897214 Volltext |
| spellingShingle | Kingman, J. F. C. Introduction to measure and probability |
| title | Introduction to measure and probability |
| title_alt | Introdction to Measure & Probability |
| title_auth | Introduction to measure and probability |
| title_exact_search | Introduction to measure and probability |
| title_full | Introduction to measure and probability by J.F.C. Kingman and S.J. Taylor |
| title_fullStr | Introduction to measure and probability by J.F.C. Kingman and S.J. Taylor |
| title_full_unstemmed | Introduction to measure and probability by J.F.C. Kingman and S.J. Taylor |
| title_short | Introduction to measure and probability |
| title_sort | introduction to measure and probability |
| url | https://doi.org/10.1017/CBO9780511897214 |
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