SHAPE AVERAGES AND THEIR BIAS

被引:6
作者
MARDIA, KV
DRYDEN, IL
机构
关键词
LANDMARKS; PROCRUSTES; SHAPE; SIZE; TRIANGLE;
D O I
10.2307/1427439
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
The paper considers the bias of Bookstein's mean estimator for shape under the isotropic normal model. This work depends on certain distributional properties of shape variables. An alternative unbiased modified estimator is proposed and its performance is compared with various estimators, including Procrustes and the exact maximum likelihood estimator, in a simulation study.
引用
收藏
页码:334 / 340
页数:7
相关论文
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