Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML

Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combinations of those coefficients define variance components for the additive genetic variance at given points of the trajectory. Therefore, ASE of these components and heritabilities derived from them can be calculated. In our example, the ASE were larger near the ends of the trajectory.

• Publication year

  2004

• Venue

  Genetics Selection Evolution

• Publication date

  2004-05-15

• Fields of study

  Biology, Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.1186/1297-9686-36-3-363PMID 15107271PMCID 2697206
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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