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Analysis of Empirical Likelihood Confidence Regions in Data Loss Situation of Linear E V Random Model

机译:线性E v随机模型数据丢失情况中的经验似然置信区分析

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摘要

By using the complementary approach of linear regression, this paper has complement the missing data of linear EV model in the case of missing completely at random to response variable, has constructed empirical likelihood ratio statistics of unknown parameters, and has proved the empirical likelihood ratio statistics which had constructed above approximate chi square distribution, finally, according to the results, this article also has constructed confidence regions of unknown parameters.
机译:通过使用线性回归的互补方法,本文在随机丢失的情况下,在随机丢失的情况下补充了线性EV模型的缺失数据,构成了未知参数的经验似然比统计数据,并证明了经验似然比统计数据这构成了上面的近似Chi正方形分布,最后,根据结果,本文还构造了未知参数的置信区。

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