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Boolean Models: Maximum Likelihood Estimation from Circular Clumps

 

作者: G. Ayala,   J. Ferrándiz,   F. Montes,  

 

期刊: Biometrical Journal  （WILEY Available online 1990）
卷期: Volume 32, issue 1  

页码: 73-78

 

ISSN:0323-3847

 

年代: 1990

 

DOI:10.1002/bimj.4710320112

 

出版商: WILEY‐VCH Verlag

 

关键词: Boolean model;Maximum likelihood estimation;Monte Carlo methods

 

数据来源: WILEY

 

摘要:

AbstractThis paper deals with the problem of making inferences on the maximum radius and the intensity of the Poisson point process associated to a Boolean Model of circular primary grains with uniformly distributed random radii. The only sample information used is observed radii of circular clumps (DUPAC, 1980). The behaviour of maximum likelihood estimation has been evaluated by means of Monte Carlo methods.

 

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