Statistical Methods For Mineral Engineers «CONFIRMED»

Statistical Methods for Mineral Engineers is the title of a highly regarded book by Professor Tim Napier-Munn , published through the Julius Kruttschnitt Mineral Research Centre (JKMRC)

Control Charts (CUSUM): Monitoring plant performance over time to detect subtle shifts in process efficiency. Review of the Primary Resource: JKMRC Monograph Statistical Methods For Mineral Engineers

Factorial Designs: These allow engineers to study the interaction between variables. For example, a certain reagent might only work effectively when the pH is above 10. Statistical Methods for Mineral Engineers is the title

📊 Optimizing Mineral Processing with Data: A Resource for Engineers 📊 Optimizing Mineral Processing with Data: A Resource

Part 7: Common Pitfalls and How to Avoid Them

| Pitfall | Consequence | Statistical Remedy | | :--- | :--- | :--- | | Using mean instead of median | Overestimates plant feed grade | Report P50, P90, and mean. Use geometric mean for lognormal data. | | Ignoring nugget effect in variograms | Underestimates short-scale variability | Perform rigorous variography with lag spacing < 10m. | | Applying t-tests to autocorrelated data | Massive type I error (false positives) | Use time-series control charts or pre-whiten data. | | Overfitting with stepwise regression | Model fails on new data | Use cross-validation or regularization (LASSO, ridge). | | Pseudoreplication in flotation tests | Inflated degrees of freedom | A single cell with 5 assays is not 5 replicates. Average first, then test across true replicates. |