The researchers developed a new estimator for ridge regression in mixture experiments, improving upon existing methods. By modifying the Liu-type estimator with a compound covariate, they achieved better accuracy in estimating the total mean squared error. The new estimator's performance remains consistent even when the intercept term changes. This was demonstrated using real data from mixture experiments.