6533b7d7fe1ef96bd1268d5a
RESEARCH PRODUCT
Sparse Sampling and Maximum Likelihood Estimation for Boolean Models
Francisco MontesGuillermo AyalaJuan Ferrándizsubject
Statistics and ProbabilityBiometricsBoolean modelIsotropySampling (statistics)General MedicineLikelihood-ratio testStatisticsMaximum satisfiability problemStatistics Probability and UncertaintyAlgorithmIndependence (probability theory)Standard Boolean modelMathematicsdescription
A condition for practical independence of contact distribution functions in Boolean models is obtained. This result allows the authors to use maximum likelihcod 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. AMS classification: 60D05
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1991-01-01 | Biometrical Journal |