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- W2015257518 abstract "In this paper, we consider the following simple linear errors-in-variables regression model: ηi=θ+βxi+ϵi,ξi=xi+δi,1≤i≤n, where θ and β are the unknown parameters, ηi, ξi’s are observable and xi’s are unobservable. We assume the error variables {(ε1, δi), 1≤i≤n} form a L2 stationary α-mixing sequences. In this paper, we obtained the moderate deviation principles for the least-square estimators of the unknown parameters θ and β." @default.
- W2015257518 created "2016-06-24" @default.
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- W2015257518 date "2014-02-12" @default.
- W2015257518 modified "2023-09-24" @default.
- W2015257518 title "MDP for estimators in EV regression models with α-mixing errors" @default.
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- W2015257518 doi "https://doi.org/10.1080/02331888.2014.886689" @default.
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