Results 301 to 310 of about 46,545 (326)
Some of the next articles are maybe not open access.
Journal of Applied Statistics, 2003
Restricted likelihood was originally introduced as the criterion for the estimation of dispersion components in normal mixed linear models. Lee & Nelder (2001a) showed that it can be extended to a much wider class of models via double extended quasi-likelihood.
Youngjo Lee, John Nelder
openaire +1 more source
Restricted likelihood was originally introduced as the criterion for the estimation of dispersion components in normal mixed linear models. Lee & Nelder (2001a) showed that it can be extended to a much wider class of models via double extended quasi-likelihood.
Youngjo Lee, John Nelder
openaire +1 more source
Crop Science, 2011
ABSTRACTDiallel analyses can give different results depending on the model and the experimental design. A unified framework to fit and compare different models by mixed‐model packages is lacking. We, therefore, present a general diallel model and the required additional restrictions for the genetic variance–covariance structure to become equivalent to ...
J. Möhring +2 more
openaire +1 more source
ABSTRACTDiallel analyses can give different results depending on the model and the experimental design. A unified framework to fit and compare different models by mixed‐model packages is lacking. We, therefore, present a general diallel model and the required additional restrictions for the genetic variance–covariance structure to become equivalent to ...
J. Möhring +2 more
openaire +1 more source
The application of REML in clinical trials
Statistics in Medicine, 1994AbstractResidual maximum likelihood (REML) is a technique for estimating variance components in multi‐classified data. In contrast to analysis of variance it can be routinely applied to unbalanced data and avoids some of the problems of biased variance estimates found with standard maximum likelihood estimation.
H K, Brown, R A, Kempton
openaire +2 more sources
Reml estimation for repeated measures analysis
Journal of Statistical Computation and Simulation, 1991Models for repeated measures or growth curves consist of a mean response plus error and the errors are usually correlated. Both maximum likelihood and residual maximum likelihood (REML) estimators of a regression model with dependent errors are derived for cases in which the variance matrix of the error model admits a convenient Cholesky factorisation.
McGilchrist, C. A, Cullis, Brian R
openaire +2 more sources
Modifications of REML algorithm for HGLMs
Statistics and Computing, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Woojoo, Lee, Youngjo
openaire +1 more source
REML: Rock Engineering Markup Language
2012REML is presented for the rock engineering data exchange and sharing, which is a markup language based on Geography Markup Language (GML). In this paper, the scope and content of REML are discussed, and the features of rock engineering data are summarized. According to the results of the discussions, a 4-tier architecture is proposed for REML.
Zhenya Shen +3 more
openaire +1 more source
REML and ML estimation for clustered grouped survival data
Statistics in Medicine, 2003AbstractClustered grouped survival data arise naturally in clinical medicine and biological research. For example, in a randomized clinical trial, the variable of interest is the time to occurrence of a certain event with or without a new treatment and the data are collected from possibly correlated subjects from independent clusters.
Ip, D, Lam, KF
openaire +4 more sources
REML Estimation for Survival Models with Frailty
Biometrics, 1993A method of estimation for generalised mixed models is applied to the estimation of regression parameters in proportional hazards models for failure times when there are repeated observations of failure on each subject. The subject effect is incorporated into the model as a random frailty term.
openaire +2 more sources
t-REML for Robust Heteroscedastic Regression Analysis of Mitochondrial Power
Biometrics, 1993The paper reports a long series of observations on two statistically independent variates which have different nonlinear regressions on the same parameter vector. In our analysis of the data, heteroscedasticity is handled by residual maximum likelihood, REML, but to cope with outliers as well, REML based on a t-specification, called t-REML, is ...
James, Alan T. +2 more
openaire +3 more sources
Asymptotics for REML estimation of spatial covariance parameters
Journal of Statistical Planning and Inference, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cressie, Noel A, Lahiri, S
openaire +2 more sources