This paper proposes to use the blockwise empirical likelihood （EL） method to construct the confidence regions for the regression vector β in a partially linear model under negatively associated errors. It is shown ...This paper proposes to use the blockwise empirical likelihood （EL） method to construct the confidence regions for the regression vector β in a partially linear model under negatively associated errors. It is shown that the blockwise EL ratio statistic for β is asymptotically χ^2 distributed. The result is used to obtain an EL-based confidence region for β. Results of a simulation study on the finite sample performance of the proposed confidence regions are reported.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.11271088and 11361011the Natural Science Foundation of Guangxi under Grant Nos.2013GXNSFAA019004 and2013GXNSFAA019007
文摘This paper proposes to use the blockwise empirical likelihood （EL） method to construct the confidence regions for the regression vector β in a partially linear model under negatively associated errors. It is shown that the blockwise EL ratio statistic for β is asymptotically χ^2 distributed. The result is used to obtain an EL-based confidence region for β. Results of a simulation study on the finite sample performance of the proposed confidence regions are reported.
