中國有色金屬學(xué)報(bào)(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 9 No. 1 March 1999 |
ROBUST ESTIMATION OF VARIANCE COMPONENTS MODEL①
Wang Zhizhong and Zhu Jianjun
（Institute of Surverying Engineering and Land Information,Central South University of Technology, Changsha 410083, P. R. China）
Abstract:Classical least squares estimation consists of minimizing the sum of the squared residuals of observation. Many authors have produced more robust versions of this estimation by replacing the square by something else, such as the absolute value. These approaches have been generalized, and their robust estimations and influence functions of variance components have been presented. The results may have wide practical and theoretical value.
Key words: influence function robust estimation variance component
