![]() The concept is sound in theory, but in practice it is difficult to come up with criteria that will instruct the software where the object is more likely to be found.Ī characteristic used to guide the sampling is color. The bias is resolved by taking into account the increased probability of sampling when extrapolating to arrive at the total estimate. Unlike the old joke, ‘Did you lose your keys where you are searching for them?’ whose punch line is ‘No, but the light is much better here’ the proportionator ™ guides the sampling to where the object is actually more likely to be found. ![]() The idea behind the proportionator ™ (Gardi et al., 2008) is to search where the object you are studying is most prevalent to increase efficiency. Proportionator ™ may have Difficulty Increasing Efficiency due to Transverse Sections
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