http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging.
Introduction -- Properties of Random Fields -- Asymptotic Properties of Linear Predictors -- Equivalence of Gaussian Measures and Linear Prediction -- Integration of Random Fields -- Estimating Parameters of Autocovariance Functions -- Discussion.