Articles

• Preface

  J Juga

  • PDF
• The CEBUS project: history and overview

  M Larsen, P Madsen

  3

  • PDF
• Attacking the problem of scalability in parallel Gauss-Seidel and Jacobi solvers for mixed model equations

  P Madsen, M Larsen

  11

  • PDF
• Fast and flexible program for genetic evaluation in dairy cattle

  M Lindauer, I Strandén

  20

  • PDF
• Parallel benefits in test day evaluations

  I Stradén

  26

  • PDF
• Complex models, more data: simpler programming?

  I Misztal

  33

  • PDF
• A brief bibliography of recent research and software for the parallel solution of large sparse linear equations

  I S Duff

  43

  • PDF
• Benefits of parallel processing in stochastic simulations of fish breeding programs

  I Olesen, J Amundsen

  47

  • PDF
• Posterior explorations of Markov chains in Bayesian analysis of discrete finite mixture models

  P M Saama

  51

  • PDF
• MCMC based estimation of variance components in a very large dairy cattle data set

  L Janss, G de Jong

  63

  • PDF
• Prospects for statistical methods in dairy cattle breeding

  R Thompson, E A Mäntysaari

  71

  • PDF
• Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling

  I R Korsgaard, M S Lund, D Sorensen, D Gianola, P Madsen, J Jensen

  79

  • PDF
• Iterative solution of random regression models by sequential estimation of regressions and effects on regressions

  N Gengler, A Tijani, G R Wiggans

  93

  • PDF
• The structure of the residual error variance of test day milk yield in random regression models

  V E Olori, W G Hill, S Brotherstone

  103

  • PDF
• Future development in genetic evaluation of Danish dairy cattle

  J Pedersen, G E Pedersen, U S Nielsen, P Madsen

  109

  • PDF
• Impact of national evaluation models on international comparisons

  U Emanuelson, F Fikse, G Banos

  115

  • PDF