Title
An Introduction to Copulas (Springer Series in Statistics),New
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Copulas are functions that join multivariate distribution functions to their onedimensional 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 selfstudy. 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 measuretheoretic probability is not required. The revised second edition includes new sections on extreme value copulas, tail dependence, and quasicopulas.
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- Q: How many pages does the book have? A: This book has two hundred eighty-six pages. It provides comprehensive coverage of copulas and their applications in statistics.
- Q: What is the binding of this book? A: The book is bound in hardcover. This durable binding ensures longevity for frequent use and study.
- Q: What are the book's dimensions? A: The book measures six inches in length, zero point five one inches in width, and nine point twenty-five inches in height. These dimensions make it portable and easy to handle.
- Q: What topics does this book cover? A: This book covers the fundamental properties of copulas and their applications in statistics. It includes discussions on dependence and measures of association.
- Q: Who is the author of this book? A: The book is authored by Roger B. Nelsen. He is well-known in the field of statistics, particularly regarding copulas.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for readers with an upper-level undergraduate background in probability and mathematical statistics. Some familiarity with nonparametric statistics is helpful.
- Q: Can I use this book for self-study? A: Yes, this book is designed for self-study as well as a text for courses. It includes numerous examples and exercises for practice.
- Q: What kind of exercises does the book include? A: The book includes one hundred sixty-seven exercises. These exercises help reinforce the concepts discussed throughout the text.
- Q: Does this book require prior knowledge of measure-theoretic probability? A: No, prior knowledge of measure-theoretic probability is not required. However, it may enhance the understanding of some concepts.
- Q: What are the main applications of copulas discussed? A: The main applications include the study of dependence and measures of association between variables. These applications are vital in multivariate statistics.
- Q: Is there a section on extreme value copulas? A: Yes, the revised second edition includes new sections on extreme value copulas and tail dependence. These topics are essential for advanced statistical analyses.
- Q: How many examples are provided in the book? A: The book provides one hundred sixteen examples. These examples illustrate the practical applications of copulas in various statistical scenarios.
- Q: What is the target audience for this book? A: The target audience includes students and practitioners of statistics and probability. It is aimed at those looking to deepen their understanding of copulas.
- Q: Is the book updated from previous editions? A: Yes, this is a revised second edition that includes updated content and new sections. This ensures that readers have access to the latest developments in copula theory.
- Q: Are there any illustrations in the book? A: Yes, the book includes fifty-four figures. These illustrations help clarify complex concepts and enhance comprehension.