Statistical Methods For Mineral Engineers Jun 2026

This error is inherent to the material's mineralogical composition and particle size distribution. It is the only error that cannot be eliminated, though it can be reduced by crushing the material to a smaller top size before splitting.

Statistics help identify whether a high-grade sample is a legitimate part of the ore body or a measurement error that needs to be "capped" to prevent biasing the model. 4. Process Optimization: Design of Experiments (DoE) Statistical Methods For Mineral Engineers

is the measured value (e.g., mass flow rate or metal grade). x̂ix hat sub i is the reconciled, balanced estimate. σisigma sub i This error is inherent to the material's mineralogical

A common mistake is confusing statistical significance with economic significance. A t-test may show that a new collector increases copper recovery by 0.1% with a p-value of 0.01. While statistically real, the financial gain must be weighed against the increased cost of the chemical. 4. Regression Analysis and Empirical Modeling σisigma sub i A common mistake is confusing

Statistics help quantify the bias introduced when particles aren't perfectly mixed, such as when heavier minerals settle at the bottom of a belt. 2. Geostatistics and Resource Estimation

): Screen a large number of factors (e.g., impeller speed, solids concentration, gas holdup) to identify which ones significantly impact recovery.