Model-Based Maximum Covariance Analysis for Irregularly Observed Climatological Data
In climatology, maximum covariance analysis (MCA) is one of the most popular tools for investigating association between two multivariate variables across time and space. These association studies are important because many climate phenomena such as the El Niño-Southern Oscillation (ENSO) and the North Atlantic Oscillation are results of interaction between these variables. Despite its popularity, maximum covariance analysis does not provide straightforward statistical inference on its...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Agricultural, Biological, and Environmental Statistics|
|01_Salim_Model-Based_Maximum_Covariance_2007.pdf||1.11 MB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.