The article presents a simpler way to estimate variance components in linear mixed models. By treating fixed effects as random effects and creating a likelihood function for a pseudo random model, the researchers derived Harville's restricted likelihood function. This new approach eliminates the need for complex transformations, making variance component estimation easier and more efficient.