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Boolean Models: Maximum Likelihood Estimation from Circular Clumps

✍ Scribed by G. Ayala; J. Ferrándiz; F. Montes

Publisher
John Wiley and Sons
Year
1990
Tongue
English
Weight
289 KB
Volume
32
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis

This 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 (DIJPAC, 1980). The behaviour of maximum likelihood estimation has been evaluated by means of Monte Carlo methods.

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