This paper deals with the R-estimation of the regression parameters of a mea-
surement error model: and ,
By combining the two sets of the information, an emaculate regression model is obtained
using “quasi-empirical Bayes” estimates of the x_1, \ldots, x_n$.
The model produces consistent estimates of the attenuated slope and the inter-
cept parameters and applies to broad range of regression problems. Asymptotic
properties of the R-estimators are provided based on the \quasi-Bayes regression
model”. Some simulated results are presented as evidence of the performances of