Analysing binary lattice data with the nearest-neighbor property
Journal of Applied ProbabilityPublished 1 December 1975
David Strauss
Citations22
SJR quartileQ2
SJR score0.53
SNIP0.91
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Abstract
The probability density of binary variables on a lattice with the nearest-neighbor condition is given by the Gibbs Random Field formula. This paper examines some consequences of the result. Approximate formulae for the maximum likelihood estimator of the persistence parameter are derived and discussed, with an example. A comparison is made between two test statistics for independence.
Keywords
Computer Science
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