𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Estimation of variance components in the mixed effects models: A comparison between analysis of variance and spectral decomposition

✍ Scribed by Mi-Xia Wu; Kai-Fun Yu; Ai-Yi Liu

Book ID
111713342
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
227 KB
Volume
139
Category
Article
ISSN
0378-3758

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Improved Nonnegative Estimation of Varia
Improved Nonnegative Estimation of Variance Components in Balanced Multivariate Mixed Models
✍ T. Mathew; A. Niyogi; B.K. Sinha πŸ“‚ Article πŸ“… 1994 πŸ› Elsevier Science 🌐 English βš– 704 KB

Consider the independent Wishart matrices \(S_{1} \sim W\left(\Sigma+\lambda \theta, q_{1}\right)\) and \(S_{2} \sim\) \(W\left(\Sigma, q_{2}\right)\), where \(\Sigma\) is an unknown positive definite (p.d.) matrix, \(\theta\) is an unknown nonnegative definite (n.n.d.) matrix, and \(\lambda\) is a

REML Estimation of Variance Parameters i
REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm
✍ Cristian Meza; Florence JaffrΓ©zic; Jean-Louis Foulley πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 147 KB πŸ‘ 2 views

## Abstract Nonlinear mixed effects models are now widely used in biometrical studies, especially in pharmacokinetic research or for the analysis of growth traits for agricultural and laboratory species. Most of these studies, however, are often based on ML estimation procedures, which are known to

Estimation of the Mean in a Variance Com
Estimation of the Mean in a Variance Component Model - a Comparison of Estimation Procedures of ANOVA, MINQ and Sampling Theory
✍ Dr. R. Trommer πŸ“‚ Article πŸ“… 1985 πŸ› John Wiley and Sons 🌐 English βš– 475 KB πŸ‘ 2 views

We consider two simple estimators of the mean p in a variance component model (one-way classification, unbalanced case) 1 1 FI=; 7 Yjk; F2=; 2 g j \* ## I I n dependence of the estimation procedure (ANOVA, MINQ, sampling theory) we obtain several different estimators for t h e variances of pl and

A New Algorithm for Explicit Determinati
A New Algorithm for Explicit Determination of Variance Component Estimations in Mixed Models and Mixed Classifications of Balanced ANOVA
✍ D. Holomek πŸ“‚ Article πŸ“… 1978 πŸ› John Wiley and Sons 🌐 English βš– 662 KB

## Abstract This paper deals with the balanced case of the analysis of variance. The use of a classification function leads to an easy determination of all possible sources of variation of any mixed classification. For mixed models a new method is derived, which allows to represent explicit the ANO