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|Title:||Empirical likelihood confidence region for parameter in the errors-in-variables models||Authors:||Cui, H.
|Issue Date:||Jan-2003||Citation:||Cui, H., Chen, S.X. (2003-01). Empirical likelihood confidence region for parameter in the errors-in-variables models. Journal of Multivariate Analysis 84 (1) : 101-115. ScholarBank@NUS Repository. https://doi.org/10.1016/S0047-259X(02)00017-9||Abstract:||This paper proposes a constrained empirical likelihood confidence region for a parameter β0 in the linear errors-in-variables model: Yi = xi τβ0 + Ei, Xi = xi + ui, (1 ≤ i ≤ n), which is constructed by combining the score function corresponding to the squared orthogonal distance with a constrained region of β0. It is shown that the coverage error of the confidence region is of order n-1, and Bartlett corrections can reduce the coverage errors to n-2 . An empirical Bartlett correction is given for practical implementation. Simulations show that the proposed confidence region has satisfactory coverage not only for large samples, but also for small to medium samples. © 2003 Elsevier Science (USA). All rights reserved.||Source Title:||Journal of Multivariate Analysis||URI:||http://scholarbank.nus.edu.sg/handle/10635/105497||ISSN:||0047259X||DOI:||10.1016/S0047-259X(02)00017-9|
|Appears in Collections:||Staff Publications|
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