Guest editors' introduction to the special issue on ``Recent advances in design and analysis of experiments and observational studies in agriculture
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Publication:2084360
DOI10.1007/s13253-020-00417-zOpenAlexW3091605431MaRDI QIDQ2084360
Robert J. Tempelman, Hans-Peter Piepho, Emlyn R. Williams
Publication date: 18 October 2022
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13253-020-00417-z
design of experimentsgeneralized linear mixed modelsstructural equation modelsMichaelis-Menten kineticsgeneralized additive modelsspatial modelling
Cites Work
- Hierarchical modeling of structural coefficients for heterogeneous networks with an application to animal production systems
- History of the statistical design of agricultural experiments
- Substitutes for the non-existent square lattice designs for 36 varieties
- Multi-level block designs for comparative experiments
- Do spatial designs outperform classic experimental designs?
- The design of early-stage plant breeding trials using genetic relatedness
- Optimization of selective phenotyping and population design for genomic prediction
- Optimal design of experiments for hybrid nonlinear models, with applications to extended Michaelis-Menten kinetics
- Pseudo-likelihood or quadrature? What we thought we knew, What we think we know, and what we are still trying to figure out
- Modeling crop phenology in the US corn belt using spatially referenced SMOS satellite data
- Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related?
- Adjusting for spatial effects in genomic prediction
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