Integral Least-Squares Inferences for Semiparametric Models with Functional Data
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The inferences for semiparametric models with functional data are investigated.
We propose an integral least-squares technique for estimating the parametric components, and the asymptotic normality of the resulting integral least-squares estimator is studied.
For the nonparametric components, a local integral least-squares estimation method is proposed, and the asymptotic normality of the resulting estimator is also established.
Based on these results, the confidence intervals for the parametric component and the nonparametric component are constructed.
At last, some simulation studies and a real data analysis are undertaken to assess the finite sample performance of the proposed estimation method.
American Psychological Association (APA)
Zhao, Limian& Zhao, Peixin. 2014. Integral Least-Squares Inferences for Semiparametric Models with Functional Data. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-486715
Modern Language Association (MLA)
Zhao, Limian& Zhao, Peixin. Integral Least-Squares Inferences for Semiparametric Models with Functional Data. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-486715
American Medical Association (AMA)
Zhao, Limian& Zhao, Peixin. Integral Least-Squares Inferences for Semiparametric Models with Functional Data. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-486715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486715