Abstract
A model whereby an ore deposit is considered as one realization of a random function is shown to give answers to problems of estimation of average mineral content of a block, together with the standard error of the mean whether in a stationary or non stationary context. The model is further expanded to solve the problem of the estimation of a non linear function of a random variable, from a set of known values of the RV. A brief description of a mining operation and its grade control problems is given and the essentials of the probabilistic model is presented. It is pointed out that the statistical estimation of the parameters of the models has been shown to be possible but that little attention has been given to the actual estimation of these parameters. The theory is now accepted by the mineral industry. Experience has supplemented the lack of knowledge of the statistical properties of all estimators used in the models but there is definitely room for more research in this area.
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