Title :
On wavelet estimation in semiparametric regression models under convergence system error sequences
Author :
Li, Qiang ; Wu, Yi
Author_Institution :
Nat. Univ. of Defense Technol., Changsha
Abstract :
Wavelet methods were applied to semiparametric regression modes!. Weak dependence and moment restrictions on the errors were assumed. The estimators of parameter and nonparameter were presented .The strong consistency of the wavelet estimators in the models was established.
Keywords :
parameter estimation; regression analysis; wavelet transforms; convergence system error sequences; moment restrictions; parameter estimators; semiparametric regression models; wavelet estimation; Convergence; Least squares approximation; Multiresolution analysis; Notice of Violation; Parameter estimation; Pattern analysis; Pattern recognition; Random sequences; Virtual manufacturing; Wavelet analysis; Wavelet estimation; convergence system; semiparametric regression model; strong consistency;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4421730
