Prediction error variances for interbreed genetic evaluations

Prediction error variances for interbreed genetic evaluations.

A table for adjusting expected progeny differences (EPD) to a base year and breed basis depends on analyses of records of progeny of bulls of different breeds in a common environment and requires that those reference bulls also have other progeny to provide within-breed EPD. Currently, the germ plasm evaluation project at the Meat Animal Research Center (MARC) provides such a common environment...

Prediction Error of Small Area Predictors Shrinking Both Means and Variances

The article considers a new approach for small area estimation based on a joint modelling of mean and variances. Model parameters are estimated via expectation–maximization algorithm. The conditional mean squared error is used to evaluate the prediction error. Analytical expressions are obtained for the conditional mean squared error and its estimator. Our approximations are second-order correc...

Collecting Paradata for Measurement Error Evaluations

Choosing Error Models for OS Robustness Evaluations

The increasing use of software (SW) and its increasing complexity, which are necessitated by the need to flexibly control more systems of increasing complexity, raise the demand for rapid SW development. In order to reduce the development effort, large fractions of SW systems are constructed from reusable SW components. Due to their complexity, operating systems (OSs) are for instance frequentl...

Contemporary groups for genetic evaluations.

Contemporary groups are used to remove biases from genetic evaluations due to differential effects such as management associated with the grouping. Numerous groups, however, can result in small numbers of records per subclass with associated loss of effective number of daughters for sire evaluation and increased prediction error variance. Thus, in practice, mean square error, bias squared plus ...