周道清 鄔吉波

摘 要 文章討論帶測量誤差的線性模型中參數(shù)估計的問題.當(dāng)帶測量誤差的線性模型存在復(fù)共線的時候，通過幾乎無偏估計的思想，提出了幾乎無偏嶺估計，并對估計的性質(zhì)進(jìn)行分析.通過研究發(fā)現(xiàn)幾乎無偏嶺估計不但能克服復(fù)共線性，同時有比較小的均方誤差.

關(guān)鍵詞 線性模型， 幾乎無偏嶺估計， 測量誤差

中圖分類號 O212文獻(xiàn)標(biāo)識碼 A

Abstract We considered ?parameter estimation in the linear model with measurement error. When linear model with measurement error exists multicollinearity， based on the idea of almost unbiased estimation， we proposed the almost unbiased ridge estimator in a linear model with measurement error. The property of the new estimator was also discussed. By ?studying， we find that the new estimator not only can overcome multcollinearity but also has small mean squared error.

Key words linear regression model; almost unbiased ridge estimator; measurement error

3 結(jié) 論

文章首先利用幾乎無偏估計的思想，提出一類新的幾乎無偏嶺估計來克服復(fù)共線性.同時發(fā)現(xiàn)在一定條件下新估計在均方誤差意義下優(yōu)于嶺估計和最小二乘估計.

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