A Thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach.

@article{Gianola2006ATM,
  title={A Thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach.},
  author={Daniel Gianola and Henner Simianer},
  journal={Genetics},
  year={2006},
  volume={174 3},
  pages={1613-24}
}
A fully Bayesian method for quantitative genetic analysis of data consisting of ranks of, e.g., genotypes, scored at a series of events or experiments is presented. The model postulates a latent structure, with an underlying variable realized for each genotype or individual involved in the event. The rank observed is assumed to reflect the order of the values of the unobserved variables, i.e., the classical Thurstonian model of psychometrics. Parameters driving the Bayesian hierarchical model… CONTINUE READING

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An analysis of variability in number of digits in an inbred strain of guinea pigs

H. Simianer
Genetics • 1934

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