5 papers · 1 filter
Bias-Adjusted Attribution Estimation for Rainfall Enhancement Trials
Zhi Yang Tho, Raymond Chambers, A. H. Welsh
Model-based analyses of rainfall enhancement trial data typically involve modelling log-transformed rainfall using linear mixed models to assess the effectiveness of enhancement me…
A Proportional Random Effect Block Bootstrap for General Clustered Data
Zhi Yang Tho, Raymond Chambers, A. H. Welsh
Clustered data arise naturally in many scientific and applied research settings where units are grouped within clusters. Such data are commonly analyzed using linear mixed models t…
Joint Mean and Correlation Regression Models for Multivariate Data
Zhi Yang Tho, Francis K. C. Hui, Tao Zou
We propose a joint mean and correlation regression model for multivariate discrete and (semi-)continuous response data, that simultaneously regresses the mean of each response agai…
An Ising Similarity Regression Model for Modeling Multivariate Binary Data
Zhi Yang Tho, Francis K. C. Hui, Tao Zou
Understanding the dependence structure between response variables is an important component in the analysis of correlated multivariate data. This article focuses on modeling depend…
Cokrig-and-Regress for Spatially Misaligned Environmental Data
Z. Y. Tho, F. K. C. Hui, A. H. Welsh +1
Spatially misaligned data, where the response and covariates are observed at different spatial locations, commonly arise in many environmental studies. Much of the statistical lite…