PCA reduces dozens of variables (e.g., particle size bins, mineral abundance, XRD peaks) into a few uncorrelated “principal components.”
Before complex modeling can begin, engineers must understand the basic behavior of their data. Statistical Methods For Mineral Engineers
Statistical Methods for Mineral Engineers is a specialized textbook and professional development framework authored by . It is primarily designed to help mineral engineers, metallurgists, and chemists make scientifically sound decisions under conditions of uncertainty. Core Informative Features PCA reduces dozens of variables (e
): Concluding a process modification works when it actually does not (false positive). Type II Error ( PCA reduces dozens of variables (e.g.
Applied to controlled process variables, such as regulated pH levels or grinding mill power draw.