John A. Eccleston

2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom John A. Eccleston trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Brian R. Cullis
2. Alison B. Smith

Papers from John A. Eccleston's perspective

Ordered by how strongly the researchers John A. Eccleston trusts endorse each paper. Same corpus, a different order for every researcher.

1. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches (Journal of Agricultural Sciences)
2. Selection in Cultivar Trials—Is It Ignorable?
3. On the design of early generation variety trials with correlated data
4. Linear Mixed Models for Longitudinal Data (Technometrics)
5. Applications: The Analysis of Crop Variety Evaluation Data in Australia
6. Introduction to Quantitative Genetics (Quantitative Genetics)
7. The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. Handbook of Statistics 13: Design and Analysis of Experiments
10. Optimization by Simulated Annealing

Their papers

• The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials (2007) — 175 citations