Approximate local confidence intervals under change of support |
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| Authors: | A E Tercan and P A Dowd |
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| Institution: | (1) Department of Mining and Mineral Engineering, The University of Leeds, LS2 9JT Leeds, England, UK |
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| Abstract: | Approximate local confidence intervals are constructed from uncertainty models in the form of the conditional distribution of the random variable Z given values of variables Zi, i=1,...,n]. When the support of the variable Z is any support other than that of the data, the conditional distributions require a change of support correction. This paper investigates the effect of change of support on the approximate local confidence intervals constructed by cumulative indicator kriging, class indicator kriging, and probability kriging under a variety of conditions. The conditions are generated by three simulated deposits with grade distributions of successively higher degree of skewness; a point support and two different block supports are considered. The paper also compares the confidence intervals obtained from these methods using the most used measures of confidence interval effectiveness. |
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| Keywords: | uncertainty models conditional distributions simulation variogram kriging |
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