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
Used to plan laboratory and plant trials (e.g., randomized blocks and factorial designs) to ensure results are statistically significant. Statistical Methods For Mineral Engineers
Before a single ton of rock is moved, engineers must predict what lies beneath the surface. Tim Napier-Munn Statistical Methods for Mineral Engineers is
This occurs due to the constitutional heterogeneity of the material (the fact that gold particles are different from quartz particles). Engineers use statistics to determine the minimum sample mass required to keep this error within acceptable limits. Before a single ton of rock is moved,
Linear regression is the workhorse, but mineral processes are rarely linear.
If you assume normality, you will massively overestimate the probability of high grades and underestimate the tonnage above cutoff.
The primary crusher gap had drifted open over the weekend, producing coarser feed. Flotation kinetics slowed.