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In this paper, we propose a regularized restricted maximum likelihood(REML) method for simultaneous variable selection in heteroscedastic regression models. Under certain regularity conditions, we establish the consistency and asymptotic normality of the resulting estimator. A simulation study is conducted to illustrate the performance of the proposed method. © 2011 Springer-Verlag Berlin Heidelberg.
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