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Copulas are functions that join multivariate distribution functions to their one-dimensional margins. In this book, the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications.
With nearly 100 examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required.
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Book Details
Edition Notes
Source title: An Introduction to Copulas (Springer Series in Statistics)
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First Sentence
"The study of copulas and their applications in statistics is a rather modern phenomenon."
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- Created June 3, 2020
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November 22, 2023 | Edited by ImportBot | import existing book |
April 7, 2023 | Edited by bitnapper | merge authors |
April 5, 2023 | Edited by bitnapper | Merge works (MRID: 55350) |
April 5, 2023 | Edited by Stew | Fix author. |
June 3, 2020 | Created by ImportBot | Imported from amazon.com record |