✦ LIBER ✦

Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models

✍ Scribed by Arthur R. Gilmour, Robin Thompson and Brian R. Cullis

Book ID: 121316476
Publisher: John Wiley and Sons
Year: 1995
Tongue: English
Weight: 1001 KB
Volume: 51
Category: Article
ISSN: 0006-341X
DOI: 10.2307/2533274

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

REML Estimation of Variance Parameters i

REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm

✍ Cristian Meza; Florence Jaffrézic; Jean-Louis Foulley 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 147 KB 👁 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

Parameter estimation: An estimated varia

Parameter estimation: An estimated variance-covariance matrix for averaging model parameters in information integration theory

✍ Zalinski, James 📂 Article 📅 1984 🏛 Psychonomic Society Publications 🌐 English ⚖ 310 KB

An algorithm for estimating the paramete

An algorithm for estimating the parameters in multiple linear regression model with linear constraints

✍ Hong Wang; Wansoo T. Rhee 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 506 KB

Efficient Algorithms for Robust Estimati

Efficient Algorithms for Robust Estimation in Linear Mixed-Effects Models Using the Multivariate t Distribution

✍ Pinheiro, José C; Liu, Chuanhai; Wu, Ying Nian 📂 Article 📅 2001 🏛 American Statistical Association 🌐 English ⚖ 483 KB

Validation of an Approximate REML Algori

Validation of an Approximate REML Algorithm for Parameter Estimation in a Multitrait, Multiple Across-Country Evaluation Model: A Simulation Study

✍ J. Tarrés; Z. Liu; V. Ducrocq; F. Reinhardt; R. Reents 📂 Article 📅 2007 🏛 American Dairy Science Association 🌐 English ⚖ 211 KB

An efficient algorithm to calculate the

An efficient algorithm to calculate the least squares estimates of the parameters in the logistic growth function and the application of beale’s measures of non-linearity for this model

✍ Heuts, R. M. J. 📂 Article 📅 1974 🏛 Springer-Verlag ⚖ 687 KB