Sign Up to like & get
recommendations!
0
Published in 2020 at "Crop Science"
DOI: 10.1002/csc2.20034
Abstract: Abstract The current study was aimed at identifying mega‐environments in Ghana and evaluating adaptability of superior sweetpotato [Ipomoea batatas (L.) Lam.] genotypes from a targeted breeding effort. Three sets of genotypes were evaluated in multi‐environment…
read more here.
Keywords:
estimations mega;
mega environments;
environment;
variance component ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Journal of Operational Oceanography"
DOI: 10.1080/1755876x.2019.1681873
Abstract: ABSTRACT In this study, the collocation method accompanied with variance component estimation is used for least square adjustment of crossover observations in order to determine the effects of radial errors on the observations of satellite…
read more here.
Keywords:
variance;
variance component;
least square;
component estimation ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Geomatics, Natural Hazards and Risk"
DOI: 10.1080/19475705.2020.1785955
Abstract: Abstract A difficulty in variance component estimation (VCE) is that the estimates may become negative, which is not acceptable in practice. This article presents two new methods for non-negative VCE that utilize the expectation maximization…
read more here.
Keywords:
component estimation;
expectation maximization;
variance;
non negative ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009659
Abstract: Since their introduction in the 50’s, variance component mixed models have been widely used in many application fields. In this context, ReML estimation is by far the most popular procedure to infer the variance components…
read more here.
Keywords:
reml;
variance component;
variance;
component mixed ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Statistica Sinica"
DOI: 10.5705/ss.202017.0220
Abstract: Logistic linear mixed models are widely used in experimental designs and genetic analyses of binary traits. Motivated by modern applications, we consider the case of many groups of random effects, where each group corresponds to…
read more here.
Keywords:
variance;
variance component;
linear mixed;
model ... See more keywords