Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

被引：16

作者：

Basford, KE

McLachlan, GJ

York, MG

机构：

[1] UNIV QUEENSLAND,DEPT MATH,ST LUCIA,QLD 4072,AUSTRALIA

[2] UNIV QUEENSLAND,DEPT AGR,ST LUCIA,QLD 4072,AUSTRALIA

来源：

JOURNAL OF APPLIED STATISTICS | 1997年 / 24卷 / 02期

关键词：

D O I：

10.1080/02664769723783

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：

Izenman and Sommer (1988) used a non-parametric Kernel density estimation technique to fit a seven-component model to the paper thickness of the 1872 Hidalgo stamp issue of Mexico. They observed an apparent conflict when fitting a normal mixture model with three components with unequal variances. This conflict is examined further by investigating the most appropriate number of components when fitting a normal mixture of components with equal variances.

引用

页码：169 / 179

页数：11

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