Titlebook: Quantitative Analysis of Mineral and Energy Resources; C. F. Chung,A. G. Fabbri,R. Sinding-Larsen Book 1988 D. Reidel Publishing Company,

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Review of Geomathematical Applications for Mineral Resources Evaluation in Chinaatical models in quantitative prediction of mineral deposits and in assessment of mineral resources has been taking the most important position. Five nation-wide academic symposia on geomathematics were held in China during the last ten years. Over a quarter of the papers presented dealt with proble

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On Assessing Dry Probabilities in Offshore Oil and Gas Exploration: An Application of Bayes’s Theorerilling become available, and the estimates are updated. Although this situation strongly suggests the use of Bayes’s Theorem, this approach has not been taken. In this paper, the problem is explicitly framed in terms of Bayes’s Theorem, and two simple exercises are performed on actual results to de

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Statistical Analysis of Oil and Gas Discovery Dataize distribution of deposits is estimated nonparametrically. Graphical goodness-of-fit procedures are then used to select an appropriate parametric form for the distribution. The parameters of this distribution are estimated using maximum likelihood techniques. From this, various quantities of inter

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