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


Weighted Multivariate Tests of Independence
Authors:Paul Deheuvels
Institution:1. L.S.T.A., Université Pierre et Marie Curie , Paris, France pd@ccr.jussieu.fr
Abstract:We present new tests of marginal independence for ?d-valued random vectors. Our tests rely upon weighted Cramér–von Mises-type statistics, which are functionals of the empirical copula process based upon a random sample of size n. We establish a decomposition of this process into asymptotically independent components, and describe the tests which follow from these arguments.
Keywords:Copulas  Cramér–von Mises statistics  Empirical processes  Gaussian processes  Tests of independence
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