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Random effects model

Known as: Random-effect model, Variance components, Random effects estimator 
In statistics, a random effects model, also called a variance components model, is a kind of hierarchical linear model. It assumes that the data… 
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Papers overview

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Highly Cited
2002
Highly Cited
2002
Abstract. Allelic variation at eight nuclear-encoded microsatellites was assayed among 967 red drum (Sciaenops ocellatus) sampled… 
Highly Cited
2001
Highly Cited
2001
SummarySomatic embryogenesis (SE) initiation in Pinus strobus was optimized by the manipulation of plant growth regulator (PGR… 
2001
2001
Quantitative measurement is an accepted ideal, but pass–fail inspection remains a fact of life, even in high-technology… 
Highly Cited
2001
Highly Cited
2001
In polygynous mammals, high-quality females may increase their fitness by producing a high proportion of sons. During a 9-year… 
Highly Cited
2000
Highly Cited
2000
Abstract The inheritance of rust resistance was studied in sugar cane seedling populations using a factorial mating design over 1… 
1999
1999
We describe a method for detecting and quantifying time irreversibility in experimental engine data. We apply this method to… 
Highly Cited
1999
Review
1998
Review
1998
We study the spatial clustering of shallow aftershock hypocenters with respect to focal mechanisms of mainshocks. We use the… 
Highly Cited
1997
Highly Cited
1997
ASREML was developed during 1996 as a comprehensive mixed models analysis program. It caters for spatial analysis of field… 
Highly Cited
1962
Highly Cited
1962
WITHIN the last decade, several workers have utilised clones in estimating variance components (Burton and DeVane, 1953; Keller…