Mineral Engineers [upd] | Statistical Methods For

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[ s^2 = K \cdot d^3 \cdot \left( \frac1M_L - \frac1M_T \right) ] Statistical Methods For Mineral Engineers

Yet because of sampling errors, measurement errors (belt scales, flow meters), and time synchronization issues, closing a balance perfectly is rare. The adjusts each measurement minimally to satisfy constraints. 5.2 Maximum Likelihood Reconciliation (BILMAT algorithm) Modern practice uses weighted least squares, where each measurement is assigned a variance (from sampling and analytical error). Measurements with low variance receive small adjustments; bad actors receive large adjustments—flagging them for review. Published under a Creative Commons Attribution License