Statistical Methods For Mineral Engineers -

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)

Part 8: Bayesian Methods – The Future of Mineral Engineering

Classical (frequentist) statistics asks: "What is the probability of the data given a null hypothesis?" Bayesian statistics asks: "What is the probability of the hypothesis given the data?" Statistical Methods For Mineral Engineers

Error Propagation & Sampling Theory: Quantifying uncertainties that arise from measurement errors and the heterogeneous nature of ore. Statistical Methods for Mineral Engineers is the title

Regression Analysis: Engineers use linear and multiple regression to build "soft sensors." For instance, predicting the final concentrate grade based on real-time feed assays and power draw in the mill. 6. Metallurgical Accounting and Mass Balancing Metallurgical Accounting and Mass Balancing 5

5. Sampling Theory (The Theory of Sampling)

"Pierre Gy’s Theory of Sampling" is critical for mineral engineers, as it statistically quantifies the errors inherent in collecting a sample from a moving stream or a stockpile.

The Moving Range Chart

Most mineral processes have autocorrelation (tonnage now depends on tonnage 5 minutes ago). Traditional X-bar-R charts are less useful; Exponentially Weighted Moving Average (EWMA) charts are superior because they detect small, persistent shifts.

Statistical Methods for Mineral Engineers heads for third reprint