Some limit behaviors for the LS estimator in simple linear EV regression models

By Y. Miao, Ke Wang, Fangfang Zhao. 2011

59 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8c9139f237a77d33794cb9ececb1b6157f2aa2b8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Aiting Shen
2. Shuhe Hu
3. Xuejun Wang
4. Soo Hak Sung
5. Zhiyong Chen
6. Pingyan Chen
7. Andrei Volodin
8. Chen Xu

In Statistics and Probability

1. Aiting Shen
2. Shuhe Hu
3. Xuejun Wang
4. Soo Hak Sung
5. Di Hu
6. Zhiyong Chen
7. Pingyan Chen
8. Chen Xu

Citations in the corpus

• Complete convergence for weighted sums of NSD random variables and its application in the EV regression model (2014, methodology): “…the consistency of the LS estimator in the linear EV model; Miao et al. (2007) obtained the central limit theorem for LS estimator in simple linear EV regression model; Miao et al. (2011) established some limit behaviors for the LS estimator in simple linear EV regression model, and so on.”
• Strong laws for weighted sums of $$\psi $$ψ-mixing random variables and applications in errors-in-variables regression models (2017, background): “The last two decades, the studies for the EV model have attracted much attention due to its simple form and wide applicability, for more details, we refer to Liu and Chen (2005), Miao et al. (2011) andWang et al. (2015) and their references.”