New method improves accuracy of testing variance components in data analysis
The study compared two methods for testing random components in a statistical model. They found that the restricted maximum likelihood method gave similar results to the usual maximum likelihood method. In most cases, the rejection rates for both methods were lower than expected, but the restricted maximum likelihood method was closer to the expected rate.