A test for spatial correlation for binary data

Songyong Sim

Statistics & Probability Letters, 2000, vol. 47, issue 2, 129-134

Abstract: A test for spatial correlation is considered when the binary observations are obtained from a regular grid. We use the auto-logistic model for our data and a conditional uniformly most powerful unbiased test for the spatial correlation is found. We use a Monte Carlo method based on a Markov chain for conducting the test. A numerical example is given.

Keywords: Auto-logistic; distribution; Hypothesis; testing; Markov; chain; Monte; Carlo (search for similar items in EconPapers)
Date: 2000
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