[1] A. Deaton, Panel data from time series of cross-sections, J. Econ.
30(1) (1985), 109-126.
[2] W. A. Fuller, Measurement Error Models, New York, 1987.
[3] H. J. Mittag, Estimating parameters in a simple
errors-in-variables model: A new approach base on finite sample
distribution theory, Stat. Papers 30(1) (1989), 133-140.
[4] Y. F. Gao and H. Liang, On generalized least square estimates in
EV linear regression model, Mathematics in Practice and Theory (4)
(1996), 343-348 (in Chinese).
[5] G. Ouyang, On parameter estimation for linear varying-coefficients
structural EV models, Acta Math. Appl. Sinica (1) (2005), 73-85 (in
Chinese).
[6] J. X. Liu and X. R. Chen, Consistency of LS estimator in simple
linear EV regression models, Acta Math. Sci. Ser. B, Engl. Ed. 25(1)
(2005), 50-58.
[7] Y. Miao, K. Wang and F. F. Zhao, Some limit behaviors for the LS
estimator in simple linear EV regression models, Statist. Probab.
Letters 81(1) (2011), 92-102.
[8] I. Fazekas and A. G. Kukush, Asymptotic properties of an estimator
in nonlinear functional errors-in-variables models with dependent
error terms, Comp. Math. Appl. 34(10) (1997), 23-39.
[9] S. Baran, A consistent estimator for linear models with dependent
observations, Comm. Statis.: Theory Methods 33(10) (2004),
2469-2486.
[10] G. L. Fan, H. Y. Liang, J. F. Wang et al., Asymptotic properties
for LS estimators in EV regression model with dependent errors, Asta
Advances in Statistical Analysis 94(1) (2010), 89-103.
[11] Y. Miao, F. F. Zhao, K. Wang et al., Asymptotic normality and
strong consistency of LS estimators in the EV regression model with NA
errors, Stat. Papers 54(1) (2013), 193-206.
[12] C. Y. Lu and Z. Y. Lin, Limit Theory for Mixing Random Variables,
Dordrecht/Beijing: Kluwer Academic Publishers/Science Press, 1997.
[13] J. R. Blum, D. L. Hanson and L. Koopmans, On the strong law of
large numbers for a class of stochastic processes, Z. Wahrsch. Verw.
Gebiete 2 (1963), 1-11.
[14] S. C. Yang, Almost sure convergence of weighted sums of mixing
sequences, J. Sys. Sci. Math. Scis. 15(3) (1995), 254-265.