Tests of homogeneity for spatial populations.

DOI10.1016/S0167-7152(02)00107-4zbMath1045.62052MaRDI QIDQ1871213

Andrea Cerioli

Publication date: 7 May 2003

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

Spatial autocorrelationFirst-order correctionPearson \(\chi ^2\)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Contingency tables (62H17)

Related Items (2)

Divergence-based tests of homogeneity for spatial data ⋮ Testing Mutual Independence Between Two Discrete-Valued Spatial Processes: A Correction to Pearson Chi-Squared

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Limit theorems for the empirical vector of the Curie-Weiss-Potts model
• Asymptotic normal distribution of multidimensional statistics of dependent random variables
• On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data
• Solutions of the variational problem in the Curie-Weiss-Potts model
• Testing Mutual Independence Between Two Discrete-Valued Spatial Processes: A Correction to Pearson Chi-Squared
• Modified Tests of Independence in 2 x 2 Tables with Spatial Data
• Tests of Independence on Two-Way Tables under Cluster Sampling: An Evaluation

This page was built for publication: Tests of homogeneity for spatial populations.