Wavelet estimation in nonparametric linear mixed-effects errors in variables model

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Sigma Mühendislik ve Fen Bilimleri Dergisi
Volume:40 Issue:3
Wavelet estimation in nonparametric linear mixed-effects errors in variables model

Wavelet estimation in nonparametric linear mixed-effects errors in variables model

Authors : Seçil YALAZ, Özge KURAN

Pages : 630-639

View : 35 | Download : 10

Publication Date : 2022-10-09

Article Type : Research Paper

Abstract :Nonparametric linear mixed effects models are preferred due to overcome the restrictions of linear models which need to satisfy distributional assumptions. In these models, smoothing approaches are needed to handle nonparametric part and chosen according to the type of data. When there is a measurement error in the nonparametric part, these smoothing techniques become more complicated. In this paper, we propose wavelet approach to smooth nonparametric function under known measurement error in nonparametric linear mixed effects model and then, we predict random effects pa rameter. Fu rthermore, a si mulation study is done to demonstrate the theoretical findings by comparing with the case ignoring measurement error. The performances are much better for the proposed model than the no measurement error case.
Keywords : Nonparametric Linear Mixed Effects Model, Measurement Error, Errors in Variables, Wavelet Estimation, Wavelet Predictor

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.