Results 251 to 260 of about 47,282 (299)

Reml estimation for repeated measures analysis

Journal of Statistical Computation and Simulation, 1991
Models 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
exaly   +3 more sources

Regularized REML for Estimation in Heteroscedastic Regression Models

Advances in Intelligent and Soft Computing, 2011
In this paper, we propose a regularized restricted maximum likelihood(REML) method for simultaneous variable selection in heteroscedastic regression models. Under certain regularity conditions, we establish the consistency and asymptotic normality of the resulting estimator.
Dengke Xu, Zhongzhan Zhang
exaly   +2 more sources

A direct derivation of the REML likelihood function

Statistical Papers, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

Bayesian and REML analysis of twinning and fertility in Thoroughbred horses

Livestock Science, 2012
Abstract Horses have low fertility, which affects profitability of breeding. Additional economic loss is generated by various complications accompanying twin pregnancies which are particularly prevalent in Thoroughbred horses. Therefore it is important to identify environmental and genetic factors influencing this trait.
S Mucha, Anna Wolc, T Szwaczkowski
exaly   +2 more sources

The application of REML in clinical trials

Statistics in Medicine, 1994
AbstractResidual 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

Modifications of REML algorithm for HGLMs

Statistics and Computing, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Woojoo Lee, Youngjo Lee 0001
openaire   +1 more source