Nonparametric Trend Estimation for Periodic Autoregressive Time Series

Author: Shao Q.  

Publisher: Taylor & Francis Ltd

ISSN: 0361-0926

Source: Communications in Statistics: Theory and Methods, Vol.38, Iss.14, 2009-01, pp. : 2418-2427

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Abstract

A periodically stationary time series has seasonal variances. A local linear trend estimation is proposed to accommodate unequal variances. A comparison of this proposed estimator with the estimator commonly used for a stationary time series is provided. The optimal bandwidth selection for this new trend estimator is discussed.