Testing Mutual Independence Between Two Discrete-Valued Spatial Processes: A Correction to Pearson Chi-Squared

DOI10.1111/j.0006-341X.2002.00888.xzbMath1210.62224WikidataQ78698519 ScholiaQ78698519MaRDI QIDQ3079036

Andrea Cerioli

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

spatial autocorrelationsubsamplingcontingency tablecategorical datafirst-order approximationhistorical ecological research

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Monte Carlo methods (65C05) Contingency tables (62H17)

Related Items (7)

A comparison of efficiencies between quasi-likelihood and pseudo-likelihood estimates in non-separable spatial-temporal binary data ⋮ Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library ⋮ Divergence-based tests of homogeneity for spatial data ⋮ Spatial autocorrelation and statistical tests: some solutions ⋮ Robust methods for the analysis of spatially autocorrelated data ⋮ Bayesian Analysis of Crossclassified Spatial Data with Autocorrelation ⋮ Tests of homogeneity for spatial populations.

Cites Work

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• Clustering on coloured lattices
• Modified Tests of Independence in 2 x 2 Tables with Spatial Data
• Window Subsampling of Estimating Functions with Application to Regression Models

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