Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Parameter Estimates

The video tutorial explains parameter estimates, focusing on point estimates and their associated errors. It emphasizes the importance of reporting uncertainty to prevent biased evaluation metrics. The randomness in data splitting and modeling is discussed, highlighting the need for repeated sampling and model comparison to ensure reliable results.

How does randomness affect the evaluation of models?

What are the potential risks of not repeatedly sampling when fitting models?