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Activity Number: 238
Type: Contributed
Date/Time: Monday, August 4, 2014 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #311828 View Presentation
Title: Goodness-of-Fit Testing in Nonparametric Autoregressive Conditional Heteroscedastic Models
Author(s): Xiaoqing Zhu*+
Companies:
Keywords: Nonparametric autogression ; Heteroscedasticity ; Local linear smoother ; Goodness-of-fit test ; Martingale transfromation ; Nonparametric density estimation
Abstract:

This paper discusses the the goodness-of-fit testing of the error distribution in a nonparametric autoregressive conditional heteroscedastic model of order one. The residuals are obtained from a local linear fit for the autoregressive and variance functions. The tests are based on a weighted empirical distribution function of the residuals. An asymptotically distribution free test is obtained via the Khmaladze martingale transformation. We also derive the asymptotic distributions of Bickel-Rosenblatt type test under the null hypothesis, and under certain nonparametric alternatives.


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