正确确定煤系岩体力学参数的概率分布是松散含水层下采煤顶板稳定可靠性分析的关键。以淮南矿区部分煤矿8煤顶板砂岩强度参数为例，以 K － S 检验法对数据进行概率分布拟合，获取参数分布类型及统量。以此大样本概型为先验函数，，具...正确确定煤系岩体力学参数的概率分布是松散含水层下采煤顶板稳定可靠性分析的关键。以淮南矿区部分煤矿8煤顶板砂岩强度参数为例，以 K － S 检验法对数据进行概率分布拟合，获取参数分布类型及统量。以此大样本概型为先验函数，，具体工作面顶板岩体小样本参数的概型为似然函数，基于 Bayes 方法对其优化，得到验后分布的概型参数。计算结果表明，8煤顶板砂岩强度参数全部接受正态分布和对数正态分布，优化后的方差有所下降，可以提高覆岩采动稳定可靠性分析结果，从而达到优化目的。展开更多
This paper dwells on regression models of cash-cost and country-benefit developed to enable accounting for the cumulative impact of the determinant parameters in the prediction of cash-costs and country-benefits of go...This paper dwells on regression models of cash-cost and country-benefit developed to enable accounting for the cumulative impact of the determinant parameters in the prediction of cash-costs and country-benefits of gold mining opportunities in the justification of taxation regimes and selection of investment targets worldwide. The data used in the generation of regression models include the total cash-cost and country-benefit per ounce vs the parameters of rock-mass (type of ore body, its dip angle, strike length and thickness), mine-design (rate of gold production, type of mine, depth of mine, gold price and age of mine) and country parameters (the Fraser Institute parameters: taxation regime, infrastructure, environmental regime, political stability, labor regulations and security) were generated from 160 gold mines in the top 20 gold rich countries for a period of 7 years from 2002 to 2008. The regression models show that the determinants account for 71% and 55% of the determinants of cash-cost and country-benefit respectively. Depending on the availability of data, the regression models generated in this study could be enhanced by adding into the parameters used in the regression analysis, the unaccounted for mine and country parameters. Also, Depending on the availability of data, the Regression models generated in this study could be enhanced further by replacing the parameters of Fraser Institute ranking used in the regression analysis with the actual parameters of country effect on cash-cost and country-benefit of the gold produced. Nevertheless, the regression models generated in this study could be used to predict the cash-costs and country-benefits of gold mining opportunities in the justification of taxation regimes and selection of investment targets worldwide.展开更多
文摘正确确定煤系岩体力学参数的概率分布是松散含水层下采煤顶板稳定可靠性分析的关键。以淮南矿区部分煤矿8煤顶板砂岩强度参数为例，以 K － S 检验法对数据进行概率分布拟合，获取参数分布类型及统量。以此大样本概型为先验函数，，具体工作面顶板岩体小样本参数的概型为似然函数，基于 Bayes 方法对其优化，得到验后分布的概型参数。计算结果表明，8煤顶板砂岩强度参数全部接受正态分布和对数正态分布，优化后的方差有所下降，可以提高覆岩采动稳定可靠性分析结果，从而达到优化目的。
文摘This paper dwells on regression models of cash-cost and country-benefit developed to enable accounting for the cumulative impact of the determinant parameters in the prediction of cash-costs and country-benefits of gold mining opportunities in the justification of taxation regimes and selection of investment targets worldwide. The data used in the generation of regression models include the total cash-cost and country-benefit per ounce vs the parameters of rock-mass (type of ore body, its dip angle, strike length and thickness), mine-design (rate of gold production, type of mine, depth of mine, gold price and age of mine) and country parameters (the Fraser Institute parameters: taxation regime, infrastructure, environmental regime, political stability, labor regulations and security) were generated from 160 gold mines in the top 20 gold rich countries for a period of 7 years from 2002 to 2008. The regression models show that the determinants account for 71% and 55% of the determinants of cash-cost and country-benefit respectively. Depending on the availability of data, the regression models generated in this study could be enhanced by adding into the parameters used in the regression analysis, the unaccounted for mine and country parameters. Also, Depending on the availability of data, the Regression models generated in this study could be enhanced further by replacing the parameters of Fraser Institute ranking used in the regression analysis with the actual parameters of country effect on cash-cost and country-benefit of the gold produced. Nevertheless, the regression models generated in this study could be used to predict the cash-costs and country-benefits of gold mining opportunities in the justification of taxation regimes and selection of investment targets worldwide.
