spatial

On Cascading Latin Hypercube Designs and Additive Models for Experiments

This paper is concerned with aspects of the design and analysis of computer experiments. It has been motivated by issues in the experimental design of intergrated-circuits. Suppose we wish to model the behavior of a complex process as a function of …

Comment on "Prediction of Spatial Cumulative Distribution Functions Using Subsampling"

This is an invited discussion of 'Prediction of Spatial Cumulative Distribution Functions Using Subsampling' by Soumendra N. Lahiri, Mark S. Kaiser, Noel Cressie and Nan-Jung Hsu

Inference for spatial Gaussian random fields when the objective is prediction

This thesis is concerned with aspects of statistical inference for Gaussian random fields when the ultimate objective is prediction. If we wish to predict a value for a random field at unobserved locations in a bounded region it is essential to have …

Some Asymptotic Properties of Kriging When the Covariance Function is Misspecified

The impact of using an incorrect covariance function on kriging predictors is investigated. Results of Stein (1988) show that the impact on the kriging predictor from not using the correct covariance function is asymptotically negligible as the …