Asymptotic Normality of Parametric Part in Partially Linear Models with Measurement Error in the Nonparametric Part

By Hua Liang. 2000

56 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b8f5b184a066be57c21a84a3c686b696d3250ecf

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In Statistics and Probability

1. David Ruppert
2. Ciprian M. Crainiceanu
3. Raymond J. Carroll
4. Tor D. Tosteson
5. Lixing Zhu
6. Margaret R. Karagas
7. Hengjian Cui
8. Matt P. Wand

Citations in the corpus

• A Semi‐parametric Regression Model with Errors in Variables (2003, background): “Assuming that there are measurement errors only in the linear part, Cui & Li (1998), Liang et al. (1999) andHe &Liang (2000) studied asymptotic normality of the estimators of the parameter and convergence rate of the estimate of the non-parametric function in the model.”
• Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model (2006, unknown): “Liang [27] discussed estimation of the partially linear model with measurement errors in the nonparametric part.”
• Nonlinear and Nonparametric Regression and Instrumental Variables (2004, methodology): “Because we now have a root-n–consistent estimate of σ 2 u , the methods of Liang (2000) can be used.”