首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Testing for Bivariate Extreme Dependence Using Kendall's Process
Authors:JEAN‐FRANÇOIS QUESSY
Institution:Département de mathématiques et d'informatique, Université du Québec à Trois‐Rivières
Abstract:Abstract. New tests for the hypothesis of bivariate extreme‐value dependence are proposed. All test statistics that are investigated are continuous functionals of either Kendall's process or its version with estimated parameters. The procedures considered are based on linear combinations of moments and on Cramér–von Mises distances. A suitably adapted version of the multiplier central limit theorem for Kendall's process enables the computation of asymptotically valid p‐values. The power of the tests is evaluated for small, moderate and large sample sizes, as well as asymptotically, under local alternatives. An illustration with a real data set is presented.
Keywords:asymptotic local power  copula  extreme‐value dependence  Kendall's process  multiplier central limit theorem
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号