ESAIM: Probability and Statistics

Research Article

Estimation of parameters in a network reliability model with spatial dependence

Dinwoodie, Ian Hepburn

ISDS, Box 90251, Duke University, Durham NC 27708, USA; ihd@stat.duke.edu

Abstract

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.

(Received October 3 2003)

(Revised May 10 2005)

(Online publication November 15 2005)

Key Words:

  • Curie-Weiss;
  • EM-algorithm;
  • iterative proportional scaling;
  • maximum likelihood;
  • network tomography.

Mathematics Subject Classification:

  • 62B05;
  • 62F10
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