1 |
Stranden I. and Lidauer, M. 1999. Solving large mixed linear models using preconditioned conjugate gradients iteration. J. Dairy Sci. 82:2779-2787.
|
2 |
Tsuruta, S., Misztal, I. and Stranden, I. 2001. Use of preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications. J. Animal Sci. 1166-1172.
|
3 |
Schaeffer, L. R. and Kennedy, B. W. 1986. Computing strategies for solving mixed model equations. J. Dairy Sci. 69:575-579.
DOI
|
4 |
Shewchuk, J R. 1994. An introduction to the conjugate gradient method without the agonizing pain. Technical Report CMU-CS-94-125., Carnegie Mellon Univ. Pittsburgh, PA.
|
5 |
Hendrson, C. R. 1973. Sire evaluation and genetic trends. In: Proceedings of the Animal Breeding and Genetics Symposium in Honour of J.L. Lush. American Society for Animal Science, Blackburgh, Champaign, Illinois.
|
6 |
Lidauer, M., Stranden, I., Mantysaari, E. A., Poso, J. and Kettunen, A. 1999. Solving large test-day models by iteration on data and preconditioned conjugate gradient. J. Dairy Sci. 82:2788-2796.
|
7 |
Janss, L. L. G. and Foulley, J. L. 1993. Bivariate analysis for one continuous and one dichotomous trait with unequal design matrices and an application to birth weight and calving difficulty. Livestock Prod. Sci. 33:183-195.
DOI
ScienceOn
|
8 |
Falconer, D. S. and Mackay, T. F. C. 1996. Introduction to Quantitative Genetics. Edinburgh, Longman. 4th Ed.
|
9 |
Lee, D. H. 2002. Investigation of biases for variance components on multiple traits with varying number of categories in threshold models using Bayesian inferences. Asian-Aust, J. Anim, Sci. 15 (7):925-931.
DOI
|
10 |
Meuwissen, T. H. E. and Luo, Z. 1992. Computing inbreeding coefficients in large populations. Genet. Sel. Evol. 24:305-313.
|
11 |
Quaas, R. L 2001. Threshold model. Proceeding of a Symposium at the Organizational Meeting for a NCR Coordinating Committee pp. 56-58.
|