Table 2 Statistics of the Li grade estimation results.
From: A new method for estimating ore grade based on sample length weighting
Name of statistic | Method | Number of samples | ||||
|---|---|---|---|---|---|---|
3 | 4 | 5 | 6 | 7 | ||
Minimum | OS-IDW | 0.2233 | 0.2391 | 0.2461 | 0.2523 | 0.2583 |
CS-IDW | 0.2256 | 0.2359 | 0.2344 | 0.2416 | 0.2461 | |
OS-IDWW | 0.2200 | 0.2206 | 0.2313 | 0.2342 | 0.2427 | |
Maximum | OS-IDW | 0.8729 | 0.8345 | 0.8250 | 0.8056 | 0.7973 |
CS-IDW | 0.8492 | 0.8445 | 0.8162 | 0.7978 | 0.7887 | |
OS-IDWW | 0.9004 | 0.8478 | 0.8279 | 0.7952 | 0.7779 | |
Mean | OS-IDW | 0.4765 | 0.4780 | 0.4781 | 0.4788 | 0.4789 |
CS-IDW | 0.4791 | 0.4835 | 0.4856 | 0.4852 | 0.4864 | |
OS-IDWW | 0.4763 | 0.4777 | 0.4777 | 0.4785 | 0.4784 | |
Variance | OS-IDW | 0.0119 | 0.0115 | 0.0111 | 0.0106 | 0.0101 |
CS-IDW | 0.0112 | 0.0109 | 0.0108 | 0.0105 | 0.0104 | |
OS-IDWW | 0.0119 | 0.0116 | 0.0111 | 0.0105 | 0.0101 | |
Standard deviation | OS-IDW | 0.1090 | 0.1074 | 0.1055 | 0.1029 | 0.1007 |
CS-IDW | 0.1058 | 0.1043 | 0.1037 | 0.1027 | 0.1022 | |
OS-IDWW | 0.1091 | 0.1075 | 0.1055 | 0.1027 | 0.1004 | |
Median | OS-IDW | 0.4767 | 0.4800 | 0.4800 | 0.4785 | 0.4786 |
CS-IDW | 0.4833 | 0.4862 | 0.4871 | 0.4894 | 0.4968 | |
OS-IDWW | 0.4767 | 0.4800 | 0.4799 | 0.4786 | 0.4786 | |
Kurtosis | OS-IDW | −0.0789 | −0.1253 | −0.1442 | −0.1935 | −0.1657 |
CS-IDW | −0.1592 | −0.2667 | −0.3058 | −0.3102 | −0.2813 | |
OS-IDWW | −0.0914 | −0.1398 | −0.1611 | −0.2120 | −0.1842 | |
Skewness | OS-IDW | −0.3482 | −0.4370 | −0.4404 | −0.4666 | −0.4945 |
CS-IDW | −0.3162 | −0.3034 | −0.2225 | −0.2860 | −0.2148 | |
OS-IDWW | −0.3584 | −0.4490 | −0.4519 | −0.4765 | −0.5001 | |
Variation coefficient | OS-IDW | 0.2287 | 0.2246 | 0.2206 | 0.2150 | 0.2102 |
CS-IDW | 0.2207 | 0.2157 | 0.2135 | 0.2116 | 0.2102 | |
OS-IDWW | 0.2291 | 0.2251 | 0.2208 | 0.2145 | 0.2098 | |
