Linear Models for Field Trials, Smoothing, and Cross-Validation

摘要

Spatial methods for the analysis of agricultural field experiments are represented here as smoothing methods applied simultaneously with the estimation of treatment effects. Selection of both the form of the smoother and the degree of smoothing required may be based on cross-validation. Particular emphasis is placed in this paper on generalized least-squares estimation ion linear models, but the principle applies quite generally.