Back to Search Start Over

Strong consistency of the distribution estimator in the nonlinear autoregressive time series

Authors :
Fuxia Cheng
Source :
Journal of Multivariate Analysis. 142:41-47
Publication Year :
2015
Publisher :
Elsevier BV, 2015.

Abstract

This paper considers the uniform strong consistency of the error cumulative distribution function (CDF) estimator. Under appropriate assumptions, the classical Glivenko-Cantelli Theorem is obtained for the residual based empirical error CDF in the nonlinear autoregressive time series.

Details

ISSN :
0047259X
Volume :
142
Database :
OpenAIRE
Journal :
Journal of Multivariate Analysis
Accession number :
edsair.doi...........6ae0fb0c5160dccefc412540fb5fd804
Full Text :
https://doi.org/10.1016/j.jmva.2015.07.014