SPARSE SAMPLING AND MAXIMUM-LIKELIHOOD-ESTIMATION FOR BOOLEAN MODELS

被引：3

作者：

AYALA, G ^{[1
]}

FERRANDIZ, JR ^{[1
]}

MONTES, F ^{[1
]}

机构：

[1] UNIV VALENCIA,DEPT ESTADIST & IO,E-46100 BURJASSOT,SPAIN

来源：

BIOMETRICAL JOURNAL | 1991年 / 33卷 / 02期

关键词：

BOOLEAN MODELS; MAXIMUM LIKELIHOOD ESTIMATION; SPARSE SAMPLING;

D O I：

10.1002/bimj.4710330215

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A condition for practical independence of contact distribution functions in Boolean models is obtained. This result allows the authors to use maximum likelihood methods, via sparse sampling, for estimating unknown parameters of an isotropic Boolean model. The second part of this paper is devoted to a simulation study of the proposed method.

引用

页码：237 / 245

页数：9

共 15 条

[1]

AYALA G, 1989, BIOMETRICAL J, V32, P73

[2] BINARY MOSAICS AND THE SPATIAL PATTERN OF HEATHER [J].