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Model-Based Maximum Covariance Analysis for Irregularly Observed Climatological Data

Salim, Agus; Pawitan, Yudi


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]

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: Journal of Agricultural, Biological, and Environmental Statistics
DOI: 10.1198/108571107X177078


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