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An iterative method based on a fixed-point property is proposed for finding maximum likelihood estimators for parameters in a model of network reliability with spatial dependence. The method is shown to converge at a geometric rate under natural conditions on data.
An iterative method based on a fixed-point property
is proposed for finding maximum likelihood
estimators for parameters in a model of network reliability with
spatial dependence. The method is shown to converge at a geometric rate under
natural conditions on data.
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