Linear Models for Field Trials, Smoothing and Cross-Validation
将农业田间试验的空间分析方法视为与处理效应估计同时进行的平滑方法，通过交叉验证选择平滑形式和程度，重点讨论线性模型中的广义最小二乘估计。
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 in linear models, but the principle applies quite generally.