Author:
Buonaccorsi John P.,Delaigle Aurore
Publisher
Springer International Publishing
Reference22 articles.
1. Carroll, R. J. and Gallo, P. P. (1982). Some aspects of robustness in the functional errors-in-variables regression-model. Communications in Statistics, Part A-Theory and Methods, 11, 2573–2585.
2. Carroll, R. J. (1989). Covariance analysis in generalized linear measurement error models. Statistics in Medicine, 8, 1075–1093.
3. Carroll, R. J. and Spiegelman, C. H. (1992). Diagnostics for nonlinearity and heteroscedasticity in errors-in-variables regression. Technometrics, 34, 186–196.
4. Carroll, R. J. and Ruppert, D. (1996). The use and misuse of orthogonal regression in linear errors-in-variables models. American Statistician, 50, 1–6.
5. Carroll, R. J., Ruppert, D., Crainiceanu, C. M., Tosteson, T. D., and Karagas, M. R. (2004). Nonlinear and nonparametric regression and instrumental variables. Journal of the American Statistical Association, 99, 736–750.