[1] Carroll R J, Freedman L, Pee D. Design aspects of calibration studies in nutrition, with analysis of missing data in linear measurement error models. Biometrics, 1997, 53: 1440--1457
[2] Cheng C L, Van Ness J W. Statistical Regression with Measurement Error. London: Arnold, 1999
[3] Cui H J, Li R C. On Parameter estimation for semi-linear error-in-variables models. Journal of Multivariate Analysis, 1998, 43: 2493--2497
[4] Fuller W A. Measurement Error Models. New York: Wiley, 1987
[5] Liang H. Partially linear models with missing response variables and error-prone covariates. Biometrika, 2007, 94: 185--198
[6] Liang H, Wang S J, Robins J, Carroll R. Estimation in partially linear models with missing covariates. Journal of Multivariate Analysis, 2004, 99: 357--367
[7] Little R J, Rubin D B. Statistical Analysis with Missing Data. New York: Wiley, 1987
[8] Liu J X, Chen X R. Consistency of LS estimator in simple linear EV regression model. Acta Mathematica Scientia, 2005, 25B(1): 50--58
[9] Rubin D B. Inference and missing data. Biometrika, 1976, 63: 581--592
[10] Robins J M, Rotnitzky A, Zhao L P. Estimation of regression coefficients when some regressor are not always observed. Journal of the American Statistical Association, 1994, 89: 846--866
[11] Wang C Y, Wang S J, Zhao L P, Ou Shyh-Tyan. Weighted semiparametric estimation in regression analysis with missing covariate data. Journal of American Statistical Association, 1997, 92: 512--525
[12] Zhao L P, Stuart Lipsitz, Danika Lew. Regression analysis with missing covariate data using estimation equations. Biometrics, 1996, 52: 1165--1182
[13] 闫长华, 张忠占. 缺失数据下线性EV模型的参数估计. 数学的实践与认识, 2005, 35: 116--122
[14] Zhu L X. Nonparametric Monte Carlo Tests and Their Applications. New York: Springer, 2005
[15] 柴根象, 洪圣岩. 半参数回归模型. 合肥:安徽教育出版社,1995 |