Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling?

DOI10.1002/env.2205zbMath1525.62217MaRDI QIDQ6069065

Unnamed Author, Peter J. Diggle

Publication date: 15 December 2023

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

spatial variationmodel-based geostatisticsprevalence surveystrans-Gaussian kriging

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Model-based geostatistics.
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• An empirical comparison of kriging methods for nonlinear spatial point prediction
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Model-Based Geostatistics
• Maximum Likelihood Variance Components Estimation for Binary Data
• Approximate Inference in Generalized Linear Mixed Models