4Qu A, Lindsay B G, Li B. Improving Generalized Estimating Equa- tions Using Quadratic Inference Functions[J]. Biometrika, 2000,(87).
5Bai Y, Fung W K, Fung W K. Partial Linear Models for Longitudinal Data Based on Quadratic Inference Functions[J].Scandinavian Journal of Statistics, 2008,(35).
9Zhao P X, Li G R. Modified SEE Variable Selection for Varying Coef- ficient Instrumental Variable Models[J]. Statistical Methodology, 2013, (12).
10Zhao P X, Xue L G. Empirical Likelihood Inferences for Semipara- metric Instrumental Variable Models[J]. Journal of Applied Mathe- matics and Computing,2013,(43).
3Davidian M, Giltinan D M. Some general estimation methods for nonlinear mixed-effects models [J]. J. Biopharmaceut. Statist., 1993, 3: 23-55.
4Wu H L, Zhang J T. Local polynomail mixed-effects models for longitudinal data [J]. J. Amer. Statist. Assoc., 2002, 97(459): 883-897.
5Wu H L, Zhang J T. Nonparametric Regression Methods for Longitudinal Data Analysis [M]. New Jersey: John Wiley & Sons, 2006.
6Liang H. Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part [J]. J. Statist. Plan. Infer., 2000, 86: 51-62.
7Zhong X P, Fung W K, Wei B C. Estimation in linear models with random effects effects and errors-in-variables [J]. Ann. Inst. Math. Statist., 2004, 54: 595-606.
8Cui H J, Kai W N, Zhu L X. Estimation in mixed effects model with errors in variables [J]. J. Multi. Anal., 2004, 91: 53-73.
9Glessor L J. Estimation in a multivariate errors-in-variables regression model: Large sample results [J]. Ann. Statist., 1981, 9: 24-44.
10Wayne A. Fuller. Measurement Error Models [M]. John Wiley & Sons, Inc, 1987.