Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  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 χ2 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.
['Qingzhu Lei', 'Yongsong Qin']
I am writing a research paper on a idea Empirical likelihood for partially linear models under negatively associated errors
[{"from": "human", "value": "I am writing a research paper on a idea Empirical likelihood for partially linear models under negatively associated errors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes to use the blockwise empirical likelihood (EL) method to construct the confidence regions for the regression vector \u03b2 in a partially linear model under negatively associated errors. It is shown that the blockwise EL ratio statistic for \u03b2 is asymptotically \u03c72 distributed. The result is used to obtain an EL-based confidence region for \u03b2. Results of a simulation study on the finite sample performance of the proposed confidence regions are reported."}]