Title :
Two Stage Estimation in Data Processing
Author :
Xiong, Pan ; Gang, Chen ; Yu, Chen
Author_Institution :
Fac. of Inf. Eng., China Univ. of Geosci., Wuhan
Abstract :
The new method presented in this paper shows an effective way of solving an estimation problem, the estimated values are nearer to their theoretical ones than in an adjustment with the method of least squares. Considering the semi parametric adjustment models, firstly, the estimators of the parameters and the nonparametric are derived by using a kernel function and the least square method. Secondly, we discuss the approach of bandwidth choice in the semi parametric adjustment models. Finally, a simulated adjustment problem is constructed to explain the method.
Keywords :
estimation theory; least squares approximations; regression analysis; data processing; kernel function; least square method; nonparametric estimation problem; regression model; semi parametric adjustment model; Data engineering; Data processing; Geology; Information technology; Kernel; Least squares approximation; Least squares methods; Parameter estimation; Parametric statistics; Stochastic systems; bandwidth; kernel; two stage estimation;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
DOI :
10.1109/IITA.Workshops.2008.28
