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ON CONSISTENCY OF LS ESTIMATORS IN THE ERRORS-IN-VARIABLE REGRESSION MODEL
Published online by Cambridge University Press: 01 December 2016
Abstract
Under some mild conditions, the strong consistency and complete consistency of the LS estimators in the errors-in-variable regression model with weakly negative dependent errors are obtained, which generalize the corresponding ones for negatively associated random variables. In addition, the simulation study shows that the biases of our method are small, and our method performs well.
Keywords
- Type
- Research Article
- Information
- Probability in the Engineering and Informational Sciences , Volume 32 , Issue 1 , January 2018 , pp. 144 - 162
- Copyright
- Copyright © Cambridge University Press 2016
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