Modeling mining deposit properties using multivariate multiple (A,U,Θ) estimators
Keywords:
mathematical modeling, mining deposits, estimator (A,U,Θ), multivariate estimator, effewctive estimator, feasible estimator, multiple estimator, estimation errorAbstract
This paper describes a procedure to estimate at a point of coordinates Pe, the value Z7e of a dependent variable Z7 that quantifies the spatial behavior of a property of a mineral deposit (for example, the volumetric mass), simultaneously using information from two databases named respectively BD1 and BD2. The procedure is based on the use of a Multiple Multivariate Estimator that, applied exhaustively to the combinations that are established for the possible values of the parameters (p, s and m) of a UPD kernel function, allows obtaining optimal results with respect to a coefficient of variation CVe which evaluates the relationship between the estimation error and the estimated value. The form in which the multiple multivariate estimator presented has been defined allows it to be classified as viable and effective.Downloads
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Copyright (c) 2025 Arístides Alejandro Legrá-Lobaina, Ramón Eddie Peña-Abreu, Eduardo Terrero- Matos, Ramón Gilberto Polanco-Almanza, Justino Tomás-António
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