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Titlebook: An Introduction to Copulas; Roger B. Nelsen Book 2006Latest edition Springer-Verlag New York 2006 Measures of association.Multivariate dis

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發(fā)表于 2025-3-21 17:38:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)An Introduction to Copulas
影響因子2023Roger B. Nelsen
視頻videohttp://file.papertrans.cn/156/155199/155199.mp4
發(fā)行地址The second edition of a very popular book.The study of copulas and their role in statistics is a vigorously growing field.The student or practitioner of statistics and probability will find discussion
學(xué)科分類(lèi)Springer Series in Statistics
圖書(shū)封面Titlebook: An Introduction to Copulas;  Roger B. Nelsen Book 2006Latest edition Springer-Verlag New York 2006 Measures of association.Multivariate dis
影響因子.Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. 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. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions...With 116 examples, 54 figures, and 167 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. The revised second edition includes new sections on extreme value copulas, tail dependence, and quasi-copulas. .
Pindex Book 2006Latest edition
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Roger B. NelsenThe second edition of a very popular book.The study of copulas and their role in statistics is a vigorously growing field.The student or practitioner of statistics and probability will find discussion
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Book 2006Latest editionmetric statistics would be useful. Knowledge of measure-theoretic probability is not required. The revised second edition includes new sections on extreme value copulas, tail dependence, and quasi-copulas. .
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0172-7397 ctitioner of statistics and probability will find discussion.Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of stat
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Book 2006Latest editioncs is a new but vigorously growing field. 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. The applications include the study of dependence and measures of association, and th
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0172-7397 hematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. The revised second edition includes new sections on extreme value copulas, tail dependence, and quasi-copulas. .978-1-4419-2109-3978-0-387-28678-5Series ISSN 0172-7397 Series E-ISSN 2197-568X
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