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Calculation of confidence intervals of the block estimates using block-support anamorphosis and discrete Gaussian variogram

机译:块支撑振荡和离散高斯变形仪计算块估计置信区间的计算

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The Fe assay values from the diamond drill-holes within a magnetite deposit of magmatic origin are utilized in this study. Only assay data from the unoxidized magnetite mineralization was utilized. The data from the overlying hematite mineralization zone was not used. A three-dimensional block model estimated using ordinary kriging (OK) is used for analysis purposes. To estimate the non-linear standard deviations (a) and the confidence intervals (CI) of block estimates a discrete Gaussian variogram model is used in this project. The change-of support coefficient (r_v) and the block-support correction are used in the 'block-anamorphosis'. A new calculated value of r_v is 0.7283, implies that its influence in the block-anamorphosis is not significant. The CIs are calculated from the block-gaussian variables; then back transformed to the raw values. At 95% probability, the Cl for the kriged block estimates of Fe values are calculated using Gaussian kriged estimates of the Fe and the corresponding standard deviations (Gaussian). The results indicate that the block estimates with a high influence from relatively small amount of samples can be identified as high-risk estimates.
机译:本研究利用了在岩石原点的磁铁矿沉积物内的金刚石钻孔中的Fe测定值。仅利用来自未氧化磁铁矿矿化的测定数据。没有使用来自覆盖赤铁矿矿化区的数据。使用普通Kriging(OK)估计的三维块模型用于分析目的。为了估计非线性标准偏差(A)和块的置信区间(CI)估计在该项目中使用离散高斯变形仪模型。支持系数(R_V)和块支撑校正在“块状骨角”中使用。 R_V的新计算值为0.7283,意味着其对嵌段骨角的影响并不重要。 CIS由块高斯变量计算;然后返回转换为原始值。在95%的概率下,使用Fe和相应的标准偏差的高斯Kriged估计来计算Fe值的Kriged块估计的CL。结果表明,从相对少量的样品中具有高影响力的嵌段估计可以被识别为高风险估计。

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