ROBUST ESTIMATION OF VARIANCE COMPONENTS MODEL

• 作 者: Wang Zhizhong Zhu Jianjun
• 机 构: Institute of Surverying Engineering and Land Information
• 出 处: 中国有色金属学会会刊（英文版）
• 发表日期: 2004年期
• 关键词: influence function robust estimation variance component

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.