The researchers found that using algebraic methods can help solve complex statistical problems more efficiently. They discovered that for certain types of data layouts, the equations used to estimate likelihood have a specific level of complexity. By studying these equations, they were able to determine the best ways to find the most accurate statistical estimates. This approach can be especially useful for models with multiple variance components.