A Basic Course in Measure and Probability
Theory for Applications
A concise introduction covering all of the measure theory and probability most useful for statisticians.
Ross Leadbetter (Author), Stamatis Cambanis (Author), Vladas Pipiras (Author)
9781107020405, Cambridge University Press
Hardback, published 30 January 2014
376 pages
23.1 x 15.5 x 2.3 cm, 0.68 kg
Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statisti]
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Details:A Basic Course in Measure and Probability
Theory for Applications
A concise introduction covering all of the measure theory and probability most useful for statisticians.
Ross Leadbetter (Author), Stamatis Cambanis (Author), Vladas Pipiras (Author)
9781107020405, Cambridge University Press
Hardback, published 30 January 2014
376 pages
23.1 x 15.5 x 2.3 cm, 0.68 kg
Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statisti]
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A Basic Course in Measure and Probability
Theory for Applications
A concise introduction covering all of the measure theory and probability most useful for statisticians.
Ross Leadbetter (Author), Stamatis Cambanis (Author), Vladas Pipiras (Author)
9781107020405, Cambridge University Press
Hardback, published 30 January 2014
376 pages
23.1 x 15.5 x 2.3 cm, 0.68 kg
Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statisti]
General | |
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Brand | Cambridge University Press |
Type | Textbook |
Format | Hardcover |
Language | English |
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