• Corpus ID: 88522554

A Fast Algorithm for Solving Henderson's Mixed Model Equation

@article{Kim2017AFA,
  title={A Fast Algorithm for Solving Henderson's Mixed Model Equation},
  author={Jiwoong Kim},
  journal={arXiv: Computation},
  year={2017}
}
  • Jiwoong Kim
  • Published 26 October 2017
  • Engineering
  • arXiv: Computation
This article investigates a fast and stable method to solve Henderson's mixed model equation. The proposed algorithm is stable in that it avoids inverting a matrix of a large dimension and hence is free from the curse of dimensionality. This tactic is enabled through row operations performed on the design matrix. 

Tables from this paper

References

SHOWING 1-4 OF 4 REFERENCES

A Unified Approach to Mixed Linear Models

Abstract The mixed model equations as presented by C. R. Henderson offers the base for a methodology that provides flexibility of fitting models with various fixed and random elements with the

That BLUP is a Good Thing: The Estimation of Random Effects

In animal breeding, Best Linear Unbiased Prediction, or BLUP, is a technique for estimating genetic merits. In general, it is a method of estimating random effects. It can be used to derive the

The estimation of environmental and genetic trends from records subject to culling.

A very common problem which arises in animal or plant breeding research is that of assessinig the gain which has resulted from a selection program carr'ied oIn ovei a number of years. To be specific,

Oscar Kempthorne

  • S. R. Searle, and C. M. von Krosigk
  • 1959