[1]
|
Pepe, M.S. and Fleming, T.R. (1991) A General Nonparametric Method for Dealing with Errors in Missing or Surrogate Covaraite Data. Journal of the American Statistical Association, 86, 108-113.http://dx.doi.org/10.1080/01621459.1991.10475009
|
[2]
|
Pepe, M.S. (1992) Inference Using Surrogate Outcome Data and a Validation Sample. Biometrika, 79, 355-365. http://dx.doi.org/10.1093/biomet/79.2.355
|
[3]
|
Lee, L.F. and Sepanski, J. (1995) Estimation of Linear and Nonlinear Errors-in-Variables Models Using Validation Data. Journal of the American Statistical Association, 90, 130-140. http://dx.doi.org/10.1080/01621459.1995.10476495
|
[4]
|
Wang, Q. and Rao, J.N.K. (2002) Empirical Likelihood-Based Inference in Linear Errors-in-Covariables Models with Validation Data. Biometrika, 89, 345-358. http://dx.doi.org/10.1093/biomet/89.2.345
|
[5]
|
Zhang, Y. (2015) Estimation of Partially Linear Regression for Errors-in-Variables Models with Validation Data. Springer International Publishing, 322, 733-742. http://dx.doi.org/10.1007/978-3-319-08991-1_76
|
[6]
|
Xu, W. and Zhu, L. (2015) Nonparametric Check for Partial Linear Errors-in-Covariables Models with Validation Data. Annals of the Institute of Statistical Mathematics, 67, 793-815. http://dx.doi.org/10.1007/s10463-014-0476-7
|
[7]
|
Carroll, R.J. and Stefanski, L.A. (1990) Approximate Quasi-Likelihood Estimation in Models with Surrogate Predictors. Journal of the American Statistical Association, 85, 652-663. http://dx.doi.org/10.1080/01621459.1990.10474925
|
[8]
|
Carroll, R.J. and Wand, M.P. (1991) Semiparametric Estimation in Logistic Measurement Error Models. Journal of the Royal Statistical Society: Series B, 53, 573-585.
|
[9]
|
Sepanski, J.H. and Lee, L.F. (1995) Semiparametric Estimation of Nonlinear Errors-in-Variables Models with Validation Study. Journal of Nonparametric Statistics, 4, 365-394. http://dx.doi.org/10.1080/10485259508832627
|
[10]
|
Stute, W., Xue, L. and Zhu, L. (2007) Empirical Likelihood Inference in Nonlinear Errors-in-Covariables Models with Validation Data. Journal of the American Statistical Association, 102, 332-346.http://dx.doi.org/10.1198/016214506000000816
|
[11]
|
Cook, J.R. and Stefanski, L.A. (1994) Simulation-Extrapolation Estimation in Parametric Measurement Error Models. Journal of the American Statistical Association, 89, 1314-1328. http://dx.doi.org/10.1080/01621459.1994.10476871
|
[12]
|
Carroll, R.J., Gail, M.H. and Lubin, J.H. (1993) Case-Control Studied with Errors in Covariables. Journal of the American Statistical Association, 88, 185-199.
|
[13]
|
Lü, Y.-Z., Zhang, R.-Q. and Huang, Z.-S. (2013) Estimation of Semi-Varying Coefficient Model with Surrogate Data and Validation Sampling. Acta Mathematicae Applicatae Sinica, English Series, 29, 645-660.http://dx.doi.org/10.1007/s10255-013-0241-3
|
[14]
|
Xiao, Y. and Tian, Z. (2014) Dimension Reduction Estimation in Nonlinear Semiparametric Error-in-Response Models with Validation Data. Mathematica Applicata, 27, 730-737.
|
[15]
|
Yu, S.H. and Wang, D.H. (2014) Empirical Likelihood for First-Order Autoregressive Error-in-Variable of Models with Validation Data. Communications in Statistics Theory Methods, 43, 1800-1823. http://dx.doi.org/10.1080/03610926.2012.679763
|
[16]
|
Stefanski, L.A. and Buzas, J.S. (1995) Instrumental Variable Estimation in Binary Regression Measurement Error Models. Journal of the American Statistical Association, 90, 541-550. http://dx.doi.org/10.1080/01621459.1995.10476546
|
[17]
|
Wang, Q. (2006) Nonparametric Regression Function Estimation with Surrogate Data and Validation sampling. Journal of Multivariate Analysis, 97, 1142-1161. http://dx.doi.org/10.1016/j.jmva.2005.05.008
|
[18]
|
Du, L., Zou, C. and Wang, Z. (2011) Nonparametric Regression Function Estimation for Error-in-Variable Models with Validation Data. Statistica Sinica, 21, 1093-1113. http://dx.doi.org/10.5705/ss.2009.047
|
[19]
|
Carroll, R.J., Ruppert, D., Stefanski, L.A. and Crainiceanu, C.M. (2006) Measurement Error in Nonlinear Models. Second Edition, Chapman and Hall CRC Press, Boca Raton. http://dx.doi.org/10.1201/9781420010138
|
[20]
|
Hall, P. and Horowitz, J.L. (2005) Nonparametric Methods for Inference in the Presence of Instrumental Variables. Annals of Statistics, 33, 2904-2929. http://dx.doi.org/10.1214/009053605000000714
|
[21]
|
Darolles, S., Florens, J.P. and Renault, E. (2006) Nonparametric Instrumental Regression. Working Paper, GREMAQ, University of Social Science, Toulouse.
|
[22]
|
Newey, W.K. and Powell, J.L. (2003) Instrumental Variable Estimation of Nonparametric Models. Econometrica, 71, 1565-1578. http://dx.doi.org/10.1111/1468-0262.00459
|
[23]
|
Blundell, R., Chen, X. and Kristensen, D. (2007) Semi-Nonparametric IV Estimation of Shape-Invariant Engel Curves. Econometrica, 75, 1613-1669. http://dx.doi.org/10.1111/j.1468-0262.2007.00808.x
|
[24]
|
Newey, W.K. (1997) Convergence Rates and Asymptotic Normality for Series Estimators. Journal of Econometrics, 79, 147-168. http://dx.doi.org/10.1016/S0304-4076(97)00011-0
|
[25]
|
Schimek, M.G. (2012) Variance Estimation and Bandwidth Selection for Kernel Regression. John Wiley & Sons, Inc., New York, 71-107.
|
[26]
|
Timan, A. (1963) Theory of Approximation of Functions of a Real Variable. McMillan, New York.
|