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Mixed linear models are assumed in most animal breeding applications. Convenient methods for computing BLUE of the estimable linear functions of the fixed elements of the model and for computing best linear unbiased predictions of the random elements of the model have been available. Most data available to animal breeders, however, do not meet the usual(More)
Procedures are described to estimate variances when heterogeneity of genetic and residual dispersion parameters exists for some criterion. Genetic and residual variances are considered to follow distributions with either known or unknown parameters. The estimates of variances obtained are weighted averages of the corresponding parameter and of a data-based(More)
The model generally considered in analysis of covariance has all levels of classification factors and interactions fixed, and also covariate regression coefficients fixed. Mixed models are more appropriate in most applications. A summary of estimation and hypothesis testing for analysis of covariance in the mixed model, including the case of random(More)
OBJECTIVE The objective of the study was to evaluate the impact of an electronic health record (EHR) on documentation completeness and patient care in a labor and delivery unit. STUDY DESIGN We conducted a pre- and postintervention study to compare documentation quality and workflow before and after EHR implementation. Documentation was compared using(More)
Best linear unbiased prediction of single crosses is described for a model that is somewhat more complete than those previously published. The method applies to unequal subclass numbers with unequal means of the observations. The lines are assumed to be a random sample from some population. Also, methods for unbiased estimation of the variances and(More)
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