Assessing shape differences in populations of shapes using the complex watson shape distribution

Athanasios C. Micheas; Dipak K. Dey

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Assessing shape differences in populations of shapes using the complex watson shape distribution

机译：使用复杂的Watson形状分布评估形状总体中的形状差异

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This paper presents a novel Bayesian method based on the complex Watson shape distribution that is used in detecting shape differences between the second thoracic vertebrae for two groups of mice, small and large, categorized according to their body weight. Considering the data provided in Johnson et al. (1988), we provide Bayesian methods of estimation as well as highest posterior density (HPD) estimates for modal vertebrae shapes within each group. Finally, we present a classification procedure that can be used in any shape classification experiment, and apply it for categorizing new vertebrae shapes in small or large groups.

机译：本文提出了一种基于复杂沃森形状分布的贝叶斯方法，该方法用于检测两组小鼠（大小）的第二只胸椎之间的形状差异。考虑到Johnson等人提供的数据。（1988），我们提供贝叶斯估计方法以及每组内模态椎骨形状的最高后验密度（HPD）估计。最后，我们提出了一种可以在任何形状分类实验中使用的分类程序，并将其应用于将新的椎骨形状分类为小型或大型组。

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来源
《Journal of applied statistics》 |2005年第2期|p. 105-116|共12页
作者
Athanasios C. Micheas; Dipak K. Dey;
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作者单位

Department of Statistics, University of Missouri-Columbia, USA;

Department of Statistics, University of Connecticut, USA;

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原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
Average shape difference; complex Watson shape distribution; HPD credible set; modal shape;

机译：平均形状差异;复杂的沃森形状分布;HPD可信集;模态形状;

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7. Modeling shape distributions and inferences for assessing differences in shapes [O] . Micheas Athanasios C., Dey Dipak K. 2005

机译：建模形状分布和推断以评估形状差异

Assessing shape differences in populations of shapes using the complex watson shape distribution

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