Title of article :
A Nonparametric Test of Serial Independence for Time Series and Residuals
Author/Authors :
Ghoudi، نويسنده , , Kilani and Kulperger، نويسنده , , Reg J. and Rémillard، نويسنده , , Bruno، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2001
Abstract :
This paper presents nonparametric tests of independence that can be used to test the independence of p random variables, serial independence for time series, or residuals data. These tests are shown to generalize the classical portmanteau statistics. Applications to both time series and regression residuals are discussed.
Keywords :
Independence , serial independence , Pseudo-observations , empirical processes , Residuals , weak convergence , Cramér–von Mises statistics
Journal title :
Journal of Multivariate Analysis
Journal title :
Journal of Multivariate Analysis