Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening

@inproceedings{Foulley1983PredictionOG,
  title={Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening},
  author={J. L. Foulley and Daniel Gianola and Robin Thompson},
  booktitle={G{\'e}n{\'e}tique, s{\'e}lection, {\'e}volution},
  year={1983}
}
Scotland Summary A method of prediction of genetic merit from jointly distributed quanta] and quantitative responses is described. The probability of response in one of two mutually exclusive and exhaustive categories is modeled as a non-linear function of classification and « risk » variables. Inferences are made from the mode of a posterior distribution resulting from the combination of a multivariate normal density, a priori, and a product binomial likelihood function. Parameter estimates… CONTINUE READING