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几乎无偏刘估计的不可容许性
Inadmissibility of the Almost Unbiased Liu Estimator
【摘要】 考虑了线性回归模型中,在Fisherian和Mahalanobis损失函数下,几乎无偏刘估计对于最小二乘估计的不可容许性;结论表明:几乎无偏刘估计在Mahalanobis损失函数下是不可容的;最后进行了数值模拟来表明结果.
【Abstract】 This paper considers the admissibility of the almost unbiased Liu estimator to the ordinary least squares estimator of linear regression model in the Fisherian and Mahalanobis loss functions. The results show that the almost unbiased Liu estimator is inadmissible under Mahalanobis loss function. Finally,a simulation study is given to show the theoretical results.
- 【文献出处】 重庆工商大学学报(自然科学版) ,Journal of Chongqing Technology and Business University(Natural Science Edition) , 编辑部邮箱 ,2015年09期
- 【分类号】O212.1
- 【被引频次】6
- 【下载频次】76