首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Two‐Sample Bootstrap Hypothesis Tests for Three‐Dimensional Labelled Landmark Data
Authors:SIMON P PRESTON  ANDREW T A WOOD
Institution:School of Mathematical Sciences, University of Nottingham
Abstract:Abstract. We investigate resampling methodologies for testing the null hypothesis that two samples of labelled landmark data in three dimensions come from populations with a common mean reflection shape or mean reflection size‐and‐shape. The investigation includes comparisons between (i) two different test statistics that are functions of the projection onto tangent space of the data, namely the James statistic and an empirical likelihood statistic; (ii) bootstrap and permutation procedures; and (iii) three methods for resampling under the null hypothesis, namely translating in tangent space, resampling using weights determined by empirical likelihood and using a novel method to transform the original sample entirely within refection shape space. We present results of extensive numerical simulations, on which basis we recommend a bootstrap test procedure that we expect will work well in practise. We demonstrate the procedure using a data set of human faces, to test whether humans in different age groups have a common mean face shape.
Keywords:bootstrap hypothesis testing  mean shape  mean size‐and‐shape  multi‐dimensional scaling  permutation test  shape analysis
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号