GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW) | ||||||
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14:28 Jul 21, 2014 |
Spanish to English translations [PRO] Science - Mathematics & Statistics / Monthly evaluation report | |||||||
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| Selected response from: Helena Chavarria Spain Local time: 03:21 | ||||||
Grading comment
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Summary of answers provided | ||||
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4 +4 | Probability-Proportional-to-Size Sampling |
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4 | Probability proportional to size |
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Probability-Proportional-to-Size Sampling Explanation: https://www.amstat.org/sections/srms/proceedings/y2010/Files... Probability-proportional-to-size sampling[edit] In some cases the sample designer has access to an "auxiliary variable" or "size measure", believed to be correlated to the variable of interest, for each element in the population. These data can be used to improve accuracy in sample design. One option is to use the auxiliary variable as a basis for stratification, as discussed above. Another option is probability proportional to size ('PPS') sampling, in which the selection probability for each element is set to be proportional to its size measure, up to a maximum of 1. In a simple PPS design, these selection probabilities can then be used as the basis for Poisson sampling. However, this has the drawback of variable sample size, and different portions of the population may still be over- or under-represented due to chance variation in selections. http://en.wikipedia.org/wiki/Sampling_(statistics)#Probabili... |
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Notes to answerer
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