Calculating the optimal number of contaminant samples by means of data worth analysis
Artikel i vetenskaplig tidskrift, 2006
This is a study of Bayesian data worth analysis in environmental clean-up applications. Its focus is on calculating
the worth of simultaneously taking several (soil) samples in a small homogeneous area and on finding the optimal
number of samples to take, by relating the reduction in risk cost from sampling, that is, data worth, to the cost of
the samples. Even though the cost of one sample may be higher than the risk cost reduction it provides, this study
shows that several samples may be cost-efficient. This is mainly due to two factors: one is that the unit sample cost
often decreases as the number of samples increase; another, more important, factor is that the data worth of several
samples typically is higher than the worth of fewer samples. Copyright # 2006 John Wiley & Sons, Ltd.
Bayesian analysis
soil
cost-efficiency
data worth
groundwater
contamination