Journal of Statistics: Advances in Theory and Applications
ERRORSAuthor's: Di Hu and Pingyan Chen
Pages: [103] - [111]
Received Date: June 21, 2016
Submitted by:
DOI: http://dx.doi.org/10.18642/jsata_7100121678
In the paper, the simple linear errors-in-variables (EV) model with
errors is studied. Under suitable mixing
coefficient rate and moment conditions, the convergence rates of
strong consistency for the least square estimators of parameters in
the simple linear EV model are obtained.
simple linear errors-in-variables model, least square estimator,
strong consistency, random variable.
