The following pages link to ASReml (Q23246):
Displaying 25 items.
- Randomization-based models for multitiered experiments. I: A chain of randomizations (Q292881) (← links)
- Predicting additive and non-additive genetic effects from trials where traits are affected by interplot competition (Q484765) (← links)
- An efficient computing strategy for prediction in mixed linear models (Q956796) (← links)
- A note on bimodality in the log-likelihood function for penalized spline mixed models (Q961213) (← links)
- Mixed model regression mapping for QTL detection in experimental crosses (Q1020012) (← links)
- Tensor cubic smoothing splines in designed experiments requiring residual modelling (Q1618196) (← links)
- Assessing a multiple QTL search using the variance component model (Q1631155) (← links)
- Analysis of phenotypic- and estimated breeding values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design (Q1717312) (← links)
- Penalized regression, mixed effects models and appropriate modelling (Q1954140) (← links)
- Estimation of factor analytic mixed models for the analysis of multi-treatment multi-environment trial data (Q2009124) (← links)
- Do spatial designs outperform classic experimental designs? (Q2084377) (← links)
- The design of early-stage plant breeding trials using genetic relatedness (Q2084380) (← links)
- Optimization of selective phenotyping and population design for genomic prediction (Q2084382) (← links)
- Anisotropic Matérn correlation and spatial prediction using REML (Q2259647) (← links)
- Formulating mixed models for experiments, including longitudinal experiments (Q2260092) (← links)
- Enhanced diagnostics for the spatial analysis of field trials (Q2260104) (← links)
- Joint modeling of spatial variability and within-row interplot competition to increase the efficiency of plant improvement (Q2261005) (← links)
- Residual variance-covariance modelling in analysis of multivariate data from variety selection trials (Q2403464) (← links)
- Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend (Q3078876) (← links)
- A spatio-temporal analysis of a field trial (Q3297933) (← links)
- Symbolic Formulae for Linear Mixed Models (Q3305482) (← links)
- Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements (Q5138620) (← links)
- A note on model selection using information criteria for general linear models estimated using REML (Q5234443) (← links)
- Testing random effects in linear mixed models: another look at the F‐test (with discussion) (Q5234445) (← links)
- The Analysis of Longitudinal Data Using Mixed Model L‐Splines (Q5492077) (← links)
