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Full Description
Explains the statistical methodologies underlying climatology and oceanography Key subjects include interpolation, optimal interpolation and kriging and how these differ with the latest results from geostatistics. Also covered are dimension reduction and the curse of dimensionality, featuring EOFs and PCA, PPCA and factor analysis and non-linear methods. * Contains propagating signals, random transforms and tracking signals. * Covers Bayesian statistics, Bayes theorem, hierarchical models and revisits chapters with a Bayesian perspective. * Considers uncertainty in models using sensitivity analysis and low probability and high impact factors.
