Linear Models for Field Trials, Smoothing, and Cross-Validation.
Abstract
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. Keywords: Agricultural field experiments, Generalized least-squares, Incomplete block designs, Neighbour methods, Papadakis method, Recovery of inter-block formation, Smoothing, and Spatial models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1984
- Accession Number
- ADA153522
Entities
People
- P. J. Green
Organizations
- University of Wisconsin–Madison