Sue J. Welham
Statistics and Probability · 2002–2019
A researcher in the Science corpus: 8 papers; trusts 14 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it; #8,710 of 12,932 by trust here, #8,279 by citations
- Plant Science — 10 citations into it
- Environmental Engineering — 9 citations into it; #1,514 of 5,479 by trust here, #1,772 by citations
- Economics and Econometrics — 6 citations into it; #9,049 of 23,481 by trust here, #10,872 by citations
- Genetics — 6 citations into it
Whom Sue J. Welham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Ruppert
- Matt P. Wand
- Alison B. Smith
- Brian R. Cullis
- Iain D. Currie
- Raymond J. Carroll
- Robin Thompson
- Michael E. Hohn
- A. R. Gilmour
- Bernard Walter Silverman
Who trusts Sue J. Welham overall
- R. M. Lark
- Matt P. Wand
- Dae-Jin Lee
- John Thomas Ormerod
- K. Meyer
- Brian R. Cullis
- María Durbán
- Tomislav Hengl
- Jin Li
- Margaret A. Oliver
Papers from Sue J. Welham's perspective
Ordered by how strongly the researchers Sue J. Welham trusts endorse each paper. Same corpus, a different order for every researcher.
- Nonparametric regression and generalized linear models
- Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting
- Smoothing and mixed models (Computational statistics (Zeitschrift))
- A Practical Guide to Splines
- Selecting the Number of Knots for Penalized Splines
- Mixed-Effects Models in S and S-Plus
- Generalized linear array models with applications to multidimensional smoothing
- Semiparametric Regression: Preface
- Approximating likelihoods for large spatial data sets
- Linear Mixed Models for Longitudinal Data (Technometrics)
Their papers
- A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING (2007) — 90 citations
- Prediction in linear mixed models (2004) — 112 citations
- On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor (E‐BLUP) with REML (2006) — 268 citations
- Establishing the precision and robustness of farmers’ crop experiments (2019) — 51 citations
- A review of the effects of crop agronomy on the management of Alopecurus myosuroides (2013) — 141 citations
- A COMPARISON OF ANALYSIS METHODS FOR LATE‐STAGE VARIETY EVALUATION TRIALS (2010) — 92 citations
- Environmental change and the phenology of European aphids (2007) — 206 citations
- ASREML user guide release 1.0 (2002) — 2,975 citations