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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
Springer Series in Statistics
ID Numbers
First Sentence
"The study of copulas and their applications in statistics is a rather modern phenomenon."
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- Created April 29, 2008
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April 5, 2023 | Edited by bitnapper | Merge works (MRID: 55350) |
January 27, 2011 | Edited by AMillarBot | remove edition notes from title (Springer Series in Statistics) |
August 5, 2010 | Edited by IdentifierBot | added LibraryThing ID |
April 24, 2010 | Edited by Open Library Bot | Fixed duplicate goodreads IDs. |
April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |