The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches
AB Smith, BR Cullis, R Thompson - The Journal of Agricultural …, 2005 - cambridge.org
The analysis of series of crop variety trials has a long history with the earliest approaches
being based on ANOVA methods. Kempton (1984) discussed the inadequacies of this …
being based on ANOVA methods. Kempton (1984) discussed the inadequacies of this …
Stochastic structure and individual-tree growth models
JC Fox, PK Ades, H Bi - Forest Ecology and Management, 2001 - Elsevier
The majority of past and current individual-tree growth modelling methodologies have failed
to characterise and incorporate structured stochastic components. Rather, they have relied …
to characterise and incorporate structured stochastic components. Rather, they have relied …
[PDF][PDF] ASReml-R reference manual version 4
DG Butler, BR Cullis, AR Gilmour… - … , HP1 1ES, UK, 2017 - asreml.kb.vsni.co.uk
ASReml-R is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML) in the R environment. This package uses the same computational kernel …
Likelihood (REML) in the R environment. This package uses the same computational kernel …
ASReml user guide release 3.0
AR Gilmour, BJ Gogel, BR Cullis, R Thompson - 2009 - repository.rothamsted.ac.uk
ASReml is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML). It has been under development since 1993 and is a joint venture …
Likelihood (REML). It has been under development since 1993 and is a joint venture …
Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models
AR Gilmour, R Thompson, BR Cullis - Biometrics, 1995 - JSTOR
A strategy of using an average information matrix is shown to be computationally convenient
and efficient for estimating variance components by restricted maximum likelihood (REML) …
and efficient for estimating variance components by restricted maximum likelihood (REML) …
Accounting for natural and extraneous variation in the analysis of field experiments
AR Gilmour, BR Cullis, AP Verbyla - Journal of Agricultural, Biological, and …, 1997 - JSTOR
We identify three major components of spatial variation in plot errors from field experiments
and extend the two-dimensional spatial procedures of Cullis and Gleeson (1991) to account …
and extend the two-dimensional spatial procedures of Cullis and Gleeson (1991) to account …
[PDF][PDF] ASReml-R reference manual
DG Butler, BR Cullis, AR Gilmour, BJ Gogel - The State of Queensland …, 2009 - Citeseer
ASReml-R fits the linear mixed model using Residual Maximum Likelihood (REML) and is a
joint venture between the Queensland Department of Primary Industries & Fisheries …
joint venture between the Queensland Department of Primary Industries & Fisheries …
Bayesian computation and stochastic systems
Markov chain Monte Carlo (MCMC) methods have been used extensively in statistical
physics over the last 40 years, in spatial statistics for the past 20 and in Bayesian image …
physics over the last 40 years, in spatial statistics for the past 20 and in Bayesian image …
Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend
A Smith, B Cullis, R Thompson - Biometrics, 2001 - academic.oup.com
The recommendation of new plant varieties for commercial use requires reliable and
accurate predictions of the average yield of each variety across a range of target …
accurate predictions of the average yield of each variety across a range of target …
[图书][B] Cyclic designs
JA John, JA John - 1987 - Springer
Cyclic designs Page 1 CHAPTER 4 Cyclic designs 4.1 Introduction Many ofthe designs
discussed in the previous chapter can be obtained very simply by a method of cyclic substitution …
discussed in the previous chapter can be obtained very simply by a method of cyclic substitution …