mixed models;
robust estimation;
von Mises method;
D O I:
暂无
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
This paper describes a method of robust estimation of shift and scale parameters in a mixed unbalanced interlaboratory model. Estimators presented result from ''easily computable'' Frechet differentiable functionals which enjoy some optimal properties in a small neighborhood of the model. A rigorous treatment of their asymptotic behaviour under departures from the model assumptions and a simulation study are given.
机构:
Univ Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USAUniv Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USA
Finsterle, S
Najita, J
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USAUniv Calif Berkeley, Lawrence Berkeley Lab, Div Earth Sci, Berkeley, CA 94720 USA
机构:
E China Normal Univ, Dept Stat, Shanghai 200062, Peoples R China
Fudan Univ, Sch Publ Hlth, Dept Biostat, Shanghai 200032, Peoples R ChinaE China Normal Univ, Dept Stat, Shanghai 200062, Peoples R China
Qin Guoyou
Zhu Zhongyi
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Dept Stat, Shanghai 200433, Peoples R ChinaE China Normal Univ, Dept Stat, Shanghai 200062, Peoples R China