Accounting for data architecture on structural equation modeling of feedlot cattle performance

DOI10.1007/s13253-018-0336-7zbMath1426.62337OpenAlexW2894281571MaRDI QIDQ1618205

Abigail Jager, Michael W. Sanderson, Kessinee Chitakasempornkul, Elva Cha, David G. Renter, Nora M. Bello

Publication date: 13 November 2018

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-018-0336-7

zbMATH Keywords

hierarchical modelingstructural equation modelsbeef cattlemultilevel correlation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Hierarchical modeling of structural coefficients for heterogeneous networks with an application to animal production systems

Uses Software

• R
• CODA
• Gibbsit

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Likelihood, Bayesian, and MCMC methods in quantitative genetics
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Hierarchical Bayesian modeling of random and residual variance-covariance matrices in bivariate mixed effects models
• Analysis of Messy Data Volume 1
• Bayesian Measures of Model Complexity and Fit
• The Method of Path Coefficients
• The Statistical Implications of a System of Simultaneous Equations
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

This page was built for publication: Accounting for data architecture on structural equation modeling of feedlot cattle performance