Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model-Reference-Cited by-同舟云学术

Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model

Published:2020-10-30 Issue:5 Volume:91 Page:934-951
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Yalaz Seçil¹^ORCID,Kuran Özge¹^ORCID

Affiliation:

1. Department of Statistics, Dicle University Science Faculty, Diyarbakır, Turkey

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1836642

Reference22 articles.

1. Nonparametric Regression with Errors in Variables

2. Liang H, Hardle W, Carroll RJ. Large sample theory in a semiparametric partially linear errors-in-variables models. SFB 373 Discussion Paper, No. 1997. Available from: http://hdl.handle.net/10419/66252

3. Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part

4. Toprak S. Semiparametric regression models with errors in variables [PhD thesis]. Dicle University, Diyarbakir; 2015. Available from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorgu-SonucYeni.jsp

5. Quasi-Likelihood Estimation in Semiparametric Models

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