The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linear model coefficients. In this paper we extend the ideas of GWR in a number of ways. First, we introduce a set of analytically derived significance tests allowing a null hypothesis of no spatial parameter drift to be investigated. Second, we discuss ‘mixed’ GWR models where some parameters are fixe...

Correlation among multiple complex traits has been believed to have a significant impact on genetic association testing. However, such correlation is difficult to account for in both genetic association studies and statistical methodologies. For complex diseases, especially mental illnesses and behavioral disorders, the traits are often measured on an ordinal scale. Although proportional odds l...

We propose one parametric and one non-parametric method for detection of monotone trends in nutrient concentrations in brackish waters. Both methods take into account that temporal variation in the quality of such waters can be strongly influenced by mixing of salt and fresh water, thus salinity is used as a classification variable in the trend analysis. With the non-parametric approach, Mann-K...