説明
Roger B. Nelsen offers a comprehensive exploration of copulas, which are essential tools in statistics for understanding the dependence between random variables. This introduction serves as a gateway for readers to grasp the fundamental concepts of copulas, bridging the gap between theoretical knowledge and practical application. Through clear explanations and various examples, Nelsen illustrates how copulas can model complex relationships beyond simple correlation, making them invaluable in fields such as finance, actuarial science, and environmental studies.
With a structured approach, the author delves into a range of copula families, providing insights into their properties and applications. Readers will appreciate the balance between rigorous mathematical theory and approachable language that Nelsen employs, making the content accessible to those new to the subject as well as seasoned statisticians. This book not only equips readers with the necessary tools to navigate copulas but also encourages them to explore new approaches to multivariate analysis.
With a structured approach, the author delves into a range of copula families, providing insights into their properties and applications. Readers will appreciate the balance between rigorous mathematical theory and approachable language that Nelsen employs, making the content accessible to those new to the subject as well as seasoned statisticians. This book not only equips readers with the necessary tools to navigate copulas but also encourages them to explore new approaches to multivariate analysis.
本の詳細
形式
ペーパーバック
ページ数
286ページ
言語
英語
公開されました
Nov 19, 2010
出版社
Springer
ISBN-10
1441921095
ISBN-13
9781441921093