DocumentCode
2648311
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
Volume
4
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
1713
Lastpage
1716
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICWAPR.2007.4421730
Filename
4421730
Link To Document